Jobs at Databricks
10,578 open positions
Start-Up Account Executive
Company: Databricks
Location: San Francisco, CA
Posted Mar 13, 2024
<p>R67<br >As a Startups Account Executive at Databricks you are a hunter and sales leader experienced in selling to Startup accounts As a successful candidate you are a creative and a selfstarter who understands the consumption sales process You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles You love understanding a product indepth and are passionate about communicating its value to customers and partners Always prospecting for new opportunities you will close new accounts while upselling existing accounts Along with the chance to work with exciting customer engagements we also offer accelerators above 100 quota accomplishment You will report to a regional sales manager<p> <p><br ><strong>The impact you will have<strong><p> <ul><li>Present a territory plan within first 90 days<li> <li>Grow Databricks usage in new and existing accounts<li> <li>Exceed activity and revenue targets<li> <li>Track all customer details including use case purchase time frames next steps and forecasting in Salesforce<li> <li>Use a solution approach to selling and creating value for customers<li> <li>Promote Databricks enterprise cloud data platform powered by Spark<li> <li>Ensure 100 satisfaction among all customers<li> <li>Prioritize opportunities and applying appropriate resources<li> <ul><p><br ><strong>What we look for<strong><p> <ul><li>2+ years of closing sales experience<li> <li>You have previously worked in a startup and you know how to navigate and be successful<li> <li>Prior success in big data Cloud or SaaS sales<li> <li>Articulate intricate cloud technologies<li> <li>Experience exceeding sales quotas<li> <li>Success closing new accounts while working existing accounts<li> <li>Must understand Spark and big data<li> <li>Passion for cloud technologies<li> <li>Bachelors Degree<li> <ul><p datarendererstartpos=2745><strong datarenderermark=true>Benefits <strong><p> <ul dataindentlevel=1><li> <p datarendererstartpos=3230>Health Care Including Dental and Vision<p> <li> <li> <p datarendererstartpos=3230>LifeADampD and Disability Coverage<p> <li> <li> <p datarendererstartpos=3230>Equity Awards<p> <li> <li> <p datarendererstartpos=3230>Flexible Vacation<p> <li> <li> <p datarendererstartpos=3230>Paid Parental Leave<p> <li> <li> <p datarendererstartpos=3230>Fitness Reimbursement<p> <li> <li> <p datarendererstartpos=3230>Annual Career Development Fund<p> <li> <li> <p datarendererstartpos=3230>Home OfficeWork Headphones Reimbursement<p> <li> <li> <p datarendererstartpos=3230>Employee Assistance Program EAP<p> <li> <li> <p datarendererstartpos=3230>Mental Wellness Resources<p> <li> <ul><p><br ><br ><p><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location Based on the factors above Databricks utilizes the full width of the range The total compensation package for this position may also include eligibility for annual performance bonus equity and the benefits listed above For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Zone 1 Pay Range<p> <p><span>$95000<span><span><span><span>$168000 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Head of Product Data Science
Company: Databricks
Location: San Francisco, CA
Posted Mar 12, 2024
<p>P1101<p> <p>Databricks is looking for a Head of Product Data Science to grow the product data science team and lead the development of data and AI products You will lead a team of data scientists and work directly in partnership with product managers and engineering leaders to empower them with datadriven insights and solutions You along with your team will dig into the data to uncover new insights identify opportunities and actions for product improvements and new product development determine product metrics with goals design experiments and promote customer experience engagement and growth of Databricks products As the leader for Product Data Science you will establish the roadmap for your team and implement projects in data science artificial intelligence machine learning and product insights You will also partner with our engineering teams to create requirements of the Databricks product to allow data scientists to easily explore and analyze new data sets for insights and to build data products<p> <p>At Databricks we are obsessed with enabling data teams to solve the worlds toughest problems from security threat detection to cancer drug development We do this by building and running the worlds best data and AI infrastructure platform so our customers can focus on the highvalue challenges that are central to their missions<p> <p><strong>The impact you will have<strong><p> <ul><li>Lead data scientists to provide product insights and develop important data and AI products and capabilities<li> <li>Develop data science solutions to identify opportunities for product improvements new product features improve and forecast growth and improve product use and customer experience<li> <li>Partner with product managers and stakeholders to understand the business need and priorities to build a roadmap of strategic capabilities and ensure delivery and adoptions<li> <li>Design metrics and KPI definitions with goals for different product areas report and communicate insights around product success to partners and the senior management team<li> <li>Function as a thought partner with senior management and stakeholders and provide leadership in developing the longterm vision and requirements for the Databricks product<li> <ul><p><strong>What we look for<strong><p> <ul><li>10+ years of product data science machine learning advanced analytics experience in high velocity highgrowth companies<li> <li>5+ years of management experience hiring and developing teams<li> <li>Experience developing data science analytics and machine learning and AI products and capabilities in a cloud environment<li> <li>Knowledge of statistics and rigorous analytical techniques<li> <li>Experience with data visualization tools knowledge of data engineering data modeling and big data technologies<li> <li>Leadership skills and experience to lead across functional and organizational lines<li> <li>Strong communication skills to explain and evangelize analytics and data science to executives and the senior management team<li> <li>Bias to action and passion for delivering highquality data solutions<li> <li>A passion for problemsolving and comfort with ambiguity<li> <li>MS or PhD in quantitative fields Statistics Math CS or Engineering<li> <ul><p><strong>Benefits<strong><p> <ul><li>Comprehensive health coverage including medical dental and vision<li> <li>401k Plan<li> <li>Equity awards<li> <li>Flexible time off<li> <li>Paid parental leave<li> <li>Family Planning<li> <li>Gym reimbursement<li> <li>Annual personal development fund<li> <li>Work headphones reimbursement<li> <li>Employee Assistance Program EAP<li> <li>Business travel accident insurance<li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location Based on the factors above Databricks utilizes the full width of the range The total compensation package for this position may also include eligibility for annual performance bonus equity and the benefits listed above For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Local Pay Range<p> <p><span>$240000<span><span><span><span>$337000 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Specialist Solutions Architect - HLS
Company: Databricks
Location: Other US Location
Posted Mar 15, 2024
<p>FEQ325R86<p> <p>We are open to hiring in any remote location in the USA <p> <p>As a Specialist Solutions Architect SSA Machine Learning on the Healthcare amp Life Sciences team you will guide customers in building big data solutions on Databricks that span a large variety of machine learning use cases You will be in a customerfacing role working with and supporting Solution Architects that requires handson production experience with MLFlow™ and expertise in other MLOps technologies SSAs help customers through design and successful implementation of essential workloads while aligning their technical roadmap for expanding the usage of the Databricks Lakehouse Platform As a deep gotoexpert reporting to the Specialist Field Engineering Manager you will continue to strengthen your technical skills through mentorship learning and internal training programs and establish yourself in an area of specialty whether that be machine learning MLOps industry expertise or more<p> <p><strong>The impact you will have<strong><p> <ul><li>Provide technical leadership to guide strategic customers to successful implementations on big data projects ranging from feature engineering training tracking registry serving to model monitoring all within a single platform<li> <li>Architect production level workloads including endtoend ML pipelines load performance testing and optimization<li> <li>Become a technical expert in Databricks Machine Learning and MLOps technologies<li> <li>Assist Solution Architects with more advanced aspects of the technical sale including custom proof of concept content estimating workload sizing and custom architectures<li> <li>Provide tutorials and training to improve community adoption including hackathons and conference presentations<li> <li>Contribute to adoption of a variety of the ML offerings Databricks with customers as well as the larger Databricks Community<li> <ul><p><strong>What we look for<strong><p> <ul><li>5+ years hands on experience in a technical role with expertise in at least one of the following<li> <ul><li>Data ScientistML Engineer model selection model lifecycle model scaling AutoML hyperparameter tuning model serving model monitoring deep learning<li> <li>MLOps Engineer Build and maintain cloud infrastructure that supports the deployment of ML models and algorithms monitors data drift integration with production systems<li> <ul><li>Extensive experience in applying Data Science ML in production to build datadriven products for solving business problems<li> <li>Experience maintaining and extending production data systems to evolve with complex needs<li> <li>Deep Specialty Expertise regarding ML concepts including Model Tracking Model Serving and other aspects of productionizing ML pipelines in distributed data processing environments like Apache Spark using tools like MLflow<li> <li>Production programming experience in SQL and Python Scala or Java<li> <li>2 years handson professional experience with Big Data technologies eg Spark Hadoop Kafka and architectures<li> <li>2 years customerfacing experience in a presales or postsales role<li> <li>Can meet expectations for technical training and rolespecific outcomes within 6 months of hire<li> <li>Bachelors degree in Computer Science Information Systems Engineering or equivalent experience through work experience<li> <li>Ability to travel up to 30 when needed<li> <ul><p><strong>Benefits<strong><p> <ul><li>Medical Dental and Vision<li> <li>401k Plan<li> <li>FSA HSA and Commuter Benefit Plans<li> <li>Equity Awards<li> <li>Flexible Time Off<li> <li>Paid Parental Leave<li> <li>Family Planning<li> <li>Fitness Reimbursement<li> <li>Annual Career Development Fund<li> <li>Home OfficeWork Headphones Reimbursement<li> <li>Employee Assistance Program EAP <li> <li>Business Travel Accident Insurance<li> <li>Mental Wellness Resources<li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location Based on the factors above Databricks utilizes the full width of the range The total compensation package for this position may also include eligibility for annual performance bonus equity and the benefits listed above For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Zone 1 Pay Range<p> <p><span>$139800<span><span><span><span>$247300 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Big Data Architect
Company: Databricks
Location: Remote
Posted Mar 15, 2024
<p>CSQ225R24<p> <p>As a<strong> Resident Solutions Architect<strong> in our Professional Services team you will work with clients on short to medium term customer engagements on their <strong>big data challenges using the Databricks platform<strong> You will provide data engineering data science and cloud technology projects which require integrating with client systems training and other technical tasks to help customers to get most value out of their data RSAs are billable and know how to complete projects according to specification with excellent customer service You will report to the Manager Professional Services<p> <p><strong>The impact you will have<strong><p> <ul><li>You will work on a variety of <strong>impactful customer technical Big Data projects<strong> which may include building reference architectures howtos and production grade MVPs<li> <li>Guide strategic customers as they implement transformational big data projects 3rd party migrations including endtoend design build and deployment of industryleading big data and AI applications<li> <li>Consult on architecture and design bootstrap or implement strategic customer projects which leads to a customers successful understanding evaluation and adoption of Databricks<li> <li>Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues<li> <ul><p><strong>What we look for<strong><p> <ul><li><strong>10+ years experience<strong> with<strong> Big Data<strong> Technologies such as <strong>Apache Spark Kafka<strong> Cloud Native and Data Lakes in a customerfacing postsales technical architecture or consulting role<li> <li><strong>6+ years of experience<strong> working on <strong>Big Data Architectures<strong> independently<li> <li>Strong experience working in the <strong>Databricks ecosystem<strong><li> <li>Comfortable writing code in either <strong>Python or Scala<strong><li> <li>Experience working across Cloud Platforms <strong>GCP AWS Azure<strong><li> <li>Documentation and whiteboarding skills<li> <li>Build skills in technical areas which support the deployment and integration of Databricksbased solutions to complete customer projects<li> <ul><p><strong>Benefits<strong><p> <ul><li>Private medical insurance<li> <li>Accident coverage<li> <li>Employees Provident Fund<li> <li>Equity awards<li> <li>Paid parental leave<li> <li>Gym reimbursement<li> <li>Annual personal development fund<li> <li>Work headphones reimbursement<li> <li>Business travel insurance<li> <ul><div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Senior Manager, Specialist Solutions Architects (Italy)
Company: Databricks
Location: Remote
Posted Mar 12, 2024
<p>FEQ225R72<p> <p>The Specialist Solution Architects SSA Team is engaged in our most important and complex customer engagements providing deep technical expertise to both our new and existing customers Your team provides specialist expertise to account teams who develop and oversee the technical account strategy<p> <p>As a Sr Manager Specialist Solutions Architects you will lead a team of Specialist Solutions Architects SSAs responsible for accelerating our Data Intelligent Platform adoptions<p> <p>The team you will lead is covering Spain Italy Greece Turkey Israel and MEA<p> <p>As a manager you will report to the regional SSA and DSA director and you will grow and develop a dynamic team with expertise in areas including enterprise software data engineering and data science who will continue to deepen their knowledge of Databricks as the platform expands<p> <p>You will guide and get involved to enhance your teams effectiveness be an expert at communicating complex business valuefocused solutions support complex sales cycles and customer architectures and build relationships with important partners in large corporations<p> <p>You will focus on growing the business for this patch Spain Italy Greece Turkey Israel and MEA<p> <p><br ><b>The impact you will have<b> <p><ul><li>You will hire and train a diverse team of Specialist Solutions Architects for Databricks a company in hypergrowth mode<li> <li>Exceed your regions consumption targets by working with your peers to determine where to deploy your team of technical experts to guide the most important use cases forward<li> <li>Make your customers extremely successful with Databricks and provide outsized value to their businesses<li> <li>Establish relationships across the business to make your customers and team successful<li> <li>Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota<li> <li>Create a positive morale for the team and help foster a working relationship between Field Engineering Sales and other important internal partners<li> <li>Help resolve customer questions on accounts and opportunities deemed strategic by Sales and Presales field leadership<li> <li>Act in a supportive manager capacity including handling escalations mentoring team members building a career path for the assigned team members<li> <ul><p><br ><b>What we look for<b> <p><ul><li>Experience in senior roles in the data space with a technical product ie data warehousing big data or machine learning<li> <li>Experience leading technical customerfacing teams team sizes greater than 5 in a presales organisation leading technical engagements<li> <li>Lead a team through best practices for technical qualification proof of concepts architecture discussions and product demonstrations<li> <li>Experience hiring qualified candidates ramping them up to be successful and promoting into larger roles<li> <li>Experience collaborating with other teams such as Sales Product Management and Customer Success<li> <li>Experience driving software platform adoption in Fortune 500 organisations in markets such as Finance Media Retail Telco Energy and Healthcare<li> <li>Up to 30 of travel required<li> <li>Based in Milan Italian speaking proficiency required<li> <ul><p><br ><p><p><strong>Benefits<strong><p> <ul><li>Enhanced Parental Leaves<li> <li>Fitness reimbursement<li> <li>Annual career development fund<li> <li>Home office amp work headphones reimbursement<li> <li>Employee referral bonus<li> <li>Equity awards<li> <li>Fitness reimbursement<li> <li>Business travel accident insurance<li> <li>Mental wellness resources<li> <li>Private Medical Insurance<li> <li>Life accident amp disability insurance<li> <ul><div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Sr. Product Manager, PySpark
Company: Databricks
Location: San Francisco, CA
Posted Mar 12, 2024
<p>You will be the Product Manager for PySpark PySpark is the Python API for Apache Spark the worlds most popular data and ML framework The PySpark team works at the intersection of Open Source Spark and the Databricks Runtime As the Product Manager of PySpark you will develop a deep understanding of PySpark and gather requirements from customers You will launch features and will engage with the Spark community and our Developer Relations team You will impact how Open Source Spark users and Databricks customers process petabytes of data every day and make it simpler for them to draw value from their data <p> <p>This role requires coordinating all product activities from vision to implementation including engaging customers to understand their needs developing longterm product strategy defining product roadmaps working with engineering to build those products and coordinating with various internal stakeholders both pre and postlaunch to ensure product success<p> <p><strong>The impact you will have<strong><p> <ul><li>Own the endtoend product management process<li> <li>Gather customer requirements design features and collaborate with engineering to deliver a polished marketready product<li> <li>Drive launches with product marketing through blog posts release notes webinars<li> <li>Define and measure OKRs for your products<li> <li>Drive the prioritization and development of features measurably making it simpler and more cost effective for customers to govern and process petabytes of data<li> <ul><p><strong>What we look for<strong><p> <ul><li>6+ yrs of experience<li> <li>Bachelors degree in Computer Science or similar field<li> <li>Experience in Product Management inbound outbound crossfunctional processes<li> <li>Developer empathy eg worked in developerfacing products or similar<li> <li>Technical skills incl Python<li> <li>Strong data analysis and operationalization skills SQL amp Python rollups building operational dashboards<li> <ul><p><strong>Benefits<strong><p> <ul><li>Comprehensive health coverage including medical dental and vision<li> <li>401k Plan<li> <li>Equity awards<li> <li>Flexible time off<li> <li>Paid parental leave<li> <li>Family Planning<li> <li>Gym reimbursement<li> <li>Annual personal development fund<li> <li>Employee Assistance Program EAP<li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location Based on the factors above Databricks utilizes the full width of the range The total compensation package for this position may also include eligibility for annual performance bonus equity and the benefits listed above For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Local Pay Range<p> <p><span>$115400<span><span><span><span>$204200 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Sr. Engineering Manager - Vector Search
Company: Databricks
Location: San Francisco, CA
Posted Mar 15, 2024
<p><span>P932<span><p> <p><br ><p><p><span>At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs We do this by building and running the worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business <span><p> <p><span>Our Vector Search technology is at the heart of this mission enabling developers to significantly enhance the accuracy of Retrieval Augmented Generation RAG and other generative AI applications By facilitating similarity searches across a wide array of unstructured documentsincluding PDFs Office documents and WikisVector Search has quickly become our fastestgrowing product This surge is fueled by the escalating demand for Generative AI capabilities among our customers As the Engineering Team Lead for Vector Search youll spearhead the development of an affordable Vector Search product to power AI applications designed for ease of use scalability and unparalleled performance <span><p> <p><br ><p><p><span><strong>The key responsibilities include<strong><span><p> <ul><li><span>Leading a team of talented software engineers to build the nextgeneration multitenanted cloud native Vector Search service<span><li> <li><span>Growing the team by hiring strong engineering talent<span><li> <li><span>Leading and participating in technical product and design discussions relating to vector databases<span><li> <li><span>Managing and operating a highlyavailable service in the cloud<span><li> <li><span>Growing leaders on the team by providing coaching mentorship and growth opportunities<span><li> <li><span>Playing a key role in defining the product and engineering roadmap for the team<span><li> <li><span>Partnering with other engineering and product leaders on planning prioritization and staffing<span><li> <li><span>Creating a culture of excellence on the team while leading with empathy<span><li> <ul><p><br ><p><p><span><strong>What we look for<strong><span><p> <ul><li><span>5+ years experience working in database systems search or AIML systems<span><li> <li><span>Experience building highlyavailable cloud services<span><li> <li><span>Building growing and managing high performance teams<span><li> <li><span>Experience in defining and meeting SLOs for highlyavailable systems<span><li> <li><span>Ability to attract and hire engineers who meet the Databricks hiring standards<span><li> <li><span>Knowledge of database internals highly Preferred<span><li> <li><span>BS in Computer Science Masters or PhD Preferred<span><li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location Based on the factors above Databricks utilizes the full width of the range The total compensation package for this position may also include eligibility for annual performance bonus equity and the benefits listed above For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Local Pay Range<p> <p><span>$222000<span><span><span><span>$300000 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Enterprise Account Executive, Federal Financials
Company: Databricks
Location: Washington DC
Posted Mar 13, 2024
<p datapmslice=1 1 >SLSQ225R117<p> <p datarendererstartpos=1648>While candidates in the listed locations are encouraged for this role candidates in other locations will be considered<p> <p datarendererstartpos=1648>As an Enterprise Account Executive Federal Financials at Databricks you will be responsible for driving sales of Databricks within this dedicated set of accounts in the Public Sector segment As an experienced Account Executive you know how to sell innovation and change through customer vision expansion and can drive deals forward to compress decision cycles You love understanding a product in depth and are passionate about communicating its value to Public Sector clients Always looking for new opportunities you will be expected to net new accounts and expand current footprints Along with the chance to close an exciting deal we also offer accelerators above 100 quota attainment<p> <p><strong>The impact you will have<strong><p> <ul><li>Manage complex salescycles and present to Clevel executives<li> <li>Close net new logos and expand existing accounts<li> <li>Identify and close quick small wins while managing longer complex sales cycles<li> <li>Exceed activity pipeline and revenue targets<li> <li>Track all customer details including use case purchase time frames next steps and forecasting in Salesforce<li> <li>Use a solutionbased approach to selling and creating value for customers<li> <li>Promote Databricks enterprise cloud data platform powered by Apache Spark<li> <li>Ensure 100 satisfaction among all customers<li> <li>Prioritize opportunities and applying appropriate resources<li> <li>Build a plan for success internally at Databricks and externally with your accounts<li> <ul><p><strong>What we look for<strong><p> <ul><li>You have previously worked in an earlystage company and you know how to navigate and be successful<li> <li>5+ years of field sales experience to Federal Financials is preferred<li> <li>Background in big data Cloud or SaaS sales is preferable<li> <li>Track record of success delivering business value to customers<li> <li>Experience with cloud technologies<li> <li>Bachelors degree<li> <ul><p><strong>Benefits<strong><p> <ul><li>Comprehensive health coverage including medical dental and vision<li> <li>401k Plan<li> <li>Equity awards<li> <li>Flexible time off<li> <li>Paid parental leave<li> <li>Family Planning<li> <li>Gym reimbursement<li> <li>Annual personal development fund<li> <li>Employee Assistance Program EAP<li> <li>Mental Health Wellness Resources<li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location Based on the factors above Databricks utilizes the full width of the range The total compensation package for this position may also include eligibility for annual performance bonus equity and the benefits listed above For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Zone 2 Pay Range<p> <p><span>$204800<span><span><span><span>$362400 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Staff Software Engineer - Data Platform
Company: Databricks
Location: San Francisco, CA
Posted Mar 12, 2024
<p><span>P58<span><p> <p><span>At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from security threat detection to cancer drug development We do this by building and running the worlds best data and AI infrastructure platform so our customers can focus on the high value challenges that are central to their own missions Our engineering teams build technical products that fulfill real important needs in the world We always push the boundaries of data and AI technology while simultaneously operating with the resilience security and scale that is important to making customers successful on our platform<span><p> <p><span>We develop and operate one of the largest scale software platforms The fleet consists of millions of virtual machines generating terabytes of logs and processing exabytes of data per day At our scale we observe cloud hardware network and operating system faults and our software must gracefully shield our customers from any of the above<span><p> <p><span>As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks You will architect and run highlyavailable largescale multigeo data pipelines for analyzing product telemetry and logs and using it to guide business decisions You will do this using the latest bleedingedge Databricks product and other tools in the data ecosystem the team also functions as a large production inhouse customer that dog foods Databricks and guides the future direction of the product<span><p> <p><strong>The impact you will have<strong><p> <ul><li><span>Design and run the crosscompany Data Intelligence Platform which contains every business and product metric used to run Databricks Youll play a key role in developing the right balance of data protections and ease of shareability for the Data Intelligence Platform as we transition to a public company<span><li> <li><span>Develop tooling and infrastructure to efficiently manage and run Databricks on Databricks at scale across multiple clouds geographies and deployment types This includes CICD processes test frameworks for pipelines and data quality and infrastructureascode tooling<span><li> <li><span>Design and run the Databricks metrics store that enables all business units and engineering teams to bring their detailed metrics into a common platform for sharing and aggregation with high quality introspection ability and query performance <span><li> <li><span>Design the base ETL framework used by all pipelines developed at the company<span><li> <li><span>Partner with our engineering teams to provide leadership in developing the longterm vision and requirements for the Databricks product<span><li> <li><span>Build reliable data pipelines and solve data problems using Databricks our partners products and other OSS tools Provide early feedback on the design and operations of these products<span><li> <li><span>Establish conventions and create new APIs for telemetry debug feature and audit event log data and evolve them as the product and underlying services change<span><li> <li><span>Represent Databricks at academic and industrial conferences amp events<span><li> <ul><p><strong>What we look for<strong><p> <ul><li><span>BS or higher degree in Computer Science or a related field<span><li> <li><span>Experience providing technical leadership on large projects similar to the ones described above ETL frameworks metrics stores infrastructure management data security<span><li> <li><span>Experience building shipping and operating reliable multigeo data pipelines at scale<span><li> <li><span>Experience working with and operating workflow or orchestration frameworks including open source tools like Airflow and DBT or commercial enterprise tools<span><li> <li><span>Experience with largescale messaging systems like Kafka or RabbitMQ or commercial systems<span><li> <li><span>Excellent crossfunctional and communication skills consensus builder<span><li> <li><span>Passion for data engineering and for enabling others by making their data easier to access<span><li> <ul><p><strong>Benefits<strong><p> <ul><li>Comprehensive health coverage including medical dental and vision<li> <li><span>401k Plan<span><li> <li><span>Equity awards<br ><span><li> <li><span>Flexible time off<span><li> <li><span>Paid parental leave<span><li> <li><span>Family Planning<span><li> <li><span>Gym reimbursement<span><li> <li><span>Annual personal development fund<span><li> <li><span>Employee Assistance Program EAP<span><li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location Based on the factors above Databricks utilizes the full width of the range The total compensation package for this position may also include eligibility for annual performance bonus equity and the benefits listed above For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Local Pay Range<p> <p><span>$192000<span><span><span><span>$260000 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Senior Manager, Specialist Solutions Architects (Spain)
Company: Databricks
Location: Remote
Posted Mar 12, 2024
<p>FEQ225R72<p> <p>The Specialist Solution Architects SSA Team is engaged in our most important and complex customer engagements providing deep technical expertise to both our new and existing customers Your team provides specialist expertise to account teams who develop and oversee the technical account strategy<p> <p>As a Sr Manager Specialist Solutions Architects you will lead a team of Specialist Solutions Architects SSAs responsible for accelerating our Data Intelligent Platform adoptions<p> <p>The team you will lead is covering Spain Italy Greece Turkey Israel and MEA<p> <p>As a manager you will report to the regional SSA and DSA director and you will grow and develop a dynamic team with expertise in areas including enterprise software data engineering and data science who will continue to deepen their knowledge of Databricks as the platform expands<p> <p>You will guide and get involved to enhance your teams effectiveness be an expert at communicating complex business valuefocused solutions support complex sales cycles and customer architectures and build relationships with important partners in large corporations<p> <p>You will focus on growing the business for this patch Spain Italy Greece Turkey Israel and MEA<p> <p><br ><b>The impact you will have<b> <p><ul><li>You will hire and train a diverse team of Specialist Solutions Architects for Databricks a company in hypergrowth mode<li> <li>Exceed your regions consumption targets by working with your peers to determine where to deploy your team of technical experts to guide the most important use cases forward<li> <li>Make your customers extremely successful with Databricks and provide outsized value to their businesses<li> <li>Establish relationships across the business to make your customers and team successful<li> <li>Grow Databricks platform usage and prevent churn in strategic accounts by overseeing and retiring a regional growth quota<li> <li>Create a positive morale for the team and help foster a working relationship between Field Engineering Sales and other important internal partners<li> <li>Help resolve customer questions on accounts and opportunities deemed strategic by Sales and Presales field leadership<li> <li>Act in a supportive manager capacity including handling escalations mentoring team members building a career path for the assigned team members<li> <ul><p><br ><b>What we look for<b> <p><ul><li>Experience in senior roles in the data space with a technical product ie data warehousing big data or machine learning<li> <li>Experience leading technical customerfacing teams team sizes greater than 5 in a presales organisation leading technical engagements<li> <li>Lead a team through best practices for technical qualification proof of concepts architecture discussions and product demonstrations<li> <li>Experience hiring qualified candidates ramping them up to be successful and promoting into larger roles<li> <li>Experience collaborating with other teams such as Sales Product Management and Customer Success<li> <li>Experience driving software platform adoption in Fortune 500 organisations in markets such as Finance Media Retail Telco Energy and Healthcare<li> <li>Up to 30 of travel required<li> <li>Based in Madrid Spanishspeaking proficiency required<li> <ul><p><br ><p><p><strong>Benefits<strong><p> <ul><li>Private medical insurance<li> <li>Life accident amp disability insurance<li> <li>Equity awards<li> <li>Enhanced Parental Leaves<li> <li>Fitness reimbursement<li> <li>Annual career development fund<li> <li>Home office amp work headphones reimbursement<li> <li>Business travel accident insurance<li> <li>Mental wellness resources<li> <li>Employee referral bonus<li> <ul><div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
GenAI Machine Learning Engineer Intern
Company: Databricks
Location: San Francisco, CA
Posted Mar 13, 2024
<p><strong>Company Description<strong><p> <p>Founded in late 2020 by a small group of machine learning engineers and researchers Mosaic AI enables companies to securely finetune train and deploy custom AI models on their own data for maximum security and control Compatible with all major cloud providers the Mosaic AI platform provides maximum flexibility for AI development Introduced in 2023 Mosaic AIs pretrained transformer models have established a new standard for open source commercially usable LLMs and have been downloaded over 3 million times Mosaic AI is committed to the belief that a companys AI models are just as valuable as any other core IP and that highquality AI models should be available to all<p> <p>Now part of Databricks since July 2023 we are passionate about enabling our customers to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs We do this by building and running the worlds best data and AI platform so our customers can use deep data insights to improve their business We leap at every opportunity to solve technical challenges striving to empower our customers with the best data and AI capabilities<p> <p><strong>Job Description<strong><p> <p>Mosaic AI is hiring software engineering interns to help build our cloud platform for GenAI training and inference You will contribute to the development of our machine learning platform across the stack be mentored by experienced software engineers and ML engineers and get exposure to cutting edge AI as well as to the culture and methodologies of silicon valley<p> <p><strong>Minimum qualifications<strong><p> <ul><li>Currently pursuing a Bachelors Masters or PhD degree in Computer Science or a related technical field<li> <li>Experience with coding in Python JavaScript Golang C C++ or another relevant programming language<li> <li>Experience working in UnixLinux environments<li> <ul><ul><li>Experience with data structures algorithms and software design<li> <ul><p><strong>Preferred qualifications<strong><p> <ul><li>Deep learning knowledge and experience<li> <li>Ability to work on projects related to one or more of the following cloudnative applications distributed systems webbased applications<li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location Based on the factors above Databricks utilizes the full width of the range The total compensation package for this position may also include eligibility for annual performance bonus equity and the benefits listed above For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>SF Bay Area Hourly Rate<p> <p><span>$54<span><span><span><span>$56 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>
Engineering Manager - Streaming
Company: Databricks
Location: Other US Location
Posted Mar 13, 2024
<p>P931<p> <p><br ><p><p>At Databricks we are passionate about enabling data teams to solve the worlds toughest problems from making the next mode of transportation a reality to accelerating the development of medical breakthroughs We do this by building and running the worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business <p> <p>We are Spark Structured Streaming team responsible for building Stream Processing capabilities into Spark and Databricks Intelligence Platform Stream processing is in its infancy and we are here to build not just stateoftheart Stream Processing technology but best in class managed offering for customers to run their Stream Processing workloads <p> <p>Were seeking a dedicated Engineering Leader to spearhead Spark Structured Streaming development initiatives encompassing both open source and Databricksspecific components Your primary mission will be to make Spark Structured Streaming stateoftheart Stream Processing engine by adding advanced features such as sophisticated state management new operators and at the same time making the engine performance both from latency and throughput point of view by reimagining engine architecture <p> <p>You will report directly to the Senior Manager of Engineering<p> <p><strong>The main responsibilities include<strong><p> <ul><li>You will lead a talented engineering team in Spark Structured Streaming team developing and promoting the engine in OSS and the Databricks Data Intelligence Platform<li> <li>You will oversee sustained recruitment of toptier talent and upskilling talent on the team<li> <li>You will build processes to implement product vision and strategy according to organizational goals and priorities<li> <li>You will build software that is not just high quality but easy to operate <li> <ul><ul><li>You will make a company wide impact by guiding Stream Processing adoption across the Databricks product portfolio<li> <li>You will manage technical debt including long term technical architecture decisions and balance product roadmap<li> <ul><p><br ><p><p><strong>What we look for<strong><p> <ul><li>5+ years experience working in a related system including bigdata ecosystem Apache Spark or database internal<li> <li>A passion for database systems storage systems distributed systems language design or performance optimization<li> <li>Can ensure the team builds high quality and reliable infrastructure services Experience being responsible for testing quality and Service Level Agreements of a product Experience building and managing teams in a complex technical domain such as on distributed data systems or database internals<li> <li>Expertise attracting hiring and coaching engineers who will meet the Databricks hiring standards Can up level the existing team via hiring topnotch senior talent growing leaders and helping struggling members Experience managing distributed teams<li> <li>Experience working with product management and directly with customers ability to understand customer needs<li> <ul><div> <div> <div> <p><strong>Pay Range Transparency<strong><p> <p><span>Databricks is committed to fair and equitable compensation practices The pay ranges for this role is listed below and represents base salary range for noncommissionable roles or ontarget earnings for commissionable roles Actual compensation packages are based on several factors that are unique to each candidate including but not limited to jobrelated skills depth of experience relevant certifications and training and specific work location Based on the factors above Databricks utilizes the full width of the range The total compensation package for this position may also include eligibility for annual performance bonus equity and the benefits listed above For more information regarding which range your location is in visit our page here<br ><span><p> <p><br ><p><div> <p>Local Pay Range<p> <p><span>$192000<span><span><span><span>$260000 USD<span><p> <div> <div> <div> <p><strong>About Databricks<strong><p> <p><span>Databricks is the data and AI company More than 10000 organizations worldwide including Comcast Condé Nast Grammarly and over 50 of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data analytics and AI Databricks is headquartered in San Francisco with offices around the globe and was founded by the original creators of Lakehouse Apache Spark™ Delta Lake and MLflow To learn more follow Databricks on <span>Twitter LinkedIn <span>and<span> Facebook<span><span><p> <p><strong>Our Commitment to Diversity and Inclusion<strong><p> <p>At Databricks we are committed to fostering a diverse and inclusive culture where everyone can excel We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards Individuals looking for employment at Databricks are considered without regard to age color disability ethnicity family or marital status gender identity or expression language national origin physical and mental ability political affiliation race religion sexual orientation socioeconomic status veteran status and other protected characteristics<p> <p><strong>Compliance<strong><p> <p><strong><span>If access to exportcontrolled technology or source code is required for performance of job duties it is within Employers discretion whether to apply for a US government license for such positions and Employer may decline to proceed with an applicant on this basis alone<span><strong><p> <div>