Jobs at Databricks

10,578 open positions

Databricks is the creator of the Lakehouse platform, blending data warehousing and data lake capabilities on top of Apache Spark. Their flagship product, Delta Lake, lets enterprises store, process, and analyze petabyte‑scale data with ACID guarantees and real‑time streaming. The company serves finance, healthcare, retail, and AI research clients, positioning itself as a key player in cloud‑native data analytics.

Databricks hires across engineering, data science, platform architecture, security, product management, and business development. Candidates can expect rigorous technical interviews, a culture that rewards experimentation, and opportunities to work on high‑impact projects that power real‑world analytics for Fortune 500 customers. Remote and hybrid options are common, and many teams operate cross‑continent with clear career ladders.

Job Transparency’s listings provide exact salary ranges, average base pay, and employee sentiment for every Databricks role. With this data, applicants can benchmark offers, negotiate proactively, and verify that the company’s culture matches their professional goals before applying.

Product Security Engineer

Company: Databricks

Location: Other US Location

Posted Aug 08, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$104,400—$184,800 USDAbout DatabricksDatabricks is the data and AI company. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Senior Solutions Engineer (Data & AI)

Company: Databricks

Location: Remote

Posted Aug 07, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. You'll work with a cross-regional,  collaborative, customer-focused team in partnership with our different internal functions, wider teams and partners. 20-30% of the timeBenefitsEnhanced Parental LeavesFitness reimbursementAnnual career development fundHome office & work headphones reimbursementEmployee referral bonusEquity awardsFitness reimbursementBusiness travel accident insuranceMental wellness resourcesPrivate Medical InsuranceLife, accident & disability insuranceAbout DatabricksDatabricks is the data and AI company. You will directly report to the Continental Field Engineering Leader. Join us in our quest to change how people work with data and make a better world!The location for this position is based in Milan (remote).The impact you will have:Form successful relationships at senior levels with clients throughout your assigned territory to provide technical thought leadership and value in collaboration with an Account Executive.Help build the Databricks technical footprint through engagement at business reviews, workshops, data and ai events and meet-ups.Create excitement from clients about Databricks with our rich offering of 1-many webinars, customer office hours, hands-on evaluation and Spark programming, integrating with the wider cloud ecosystem, 3rd party applications and partners.Become a Big Data Analytics advisor on aspects of architecture and design.Support your customers by authoring reference architectures, how-tos, and demo applications.Develop both technically and in the pre-sales aspect with the goal of becoming an independently operating Solutions Architect.You will advise our customers as a trusted advisor on how to best realize their data and ai use cases.What we look for:4+ years of experience in working with clients, creating a narrative, aligning the agenda based on business priorities, and achieving tangible outcomes.Independently deliver a technical proposition, identify customers' pain-points, and explain important areas of business value to develop a trusted advisor skillset.Code in a core programming language such as Python, SQL or Java.Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs-of-concept and an understanding of a major public cloud platform.Experience diving deeper into solution architecture and design.Good to have: Cloud certification from AWS, Microsoft or GCP or relevant experienceDatabricks experience/ certifications are a bonusBusiness proficiency in Italian and EnglishTravelling approx. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. You will work directly with technical and business leaders on their Data and AI strategy and the execution of it, using your skills to demonstrate the value of Databricks as a platform.

Solutions Architect

Company: Databricks

Location: Remote

Posted Aug 10, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$139,700—$247,300 USDZone 2 Pay Range$139,700—$247,300 USDZone 3 Pay Range$139,700—$247,300 USDZone 4 Pay Range$139,700—$247,300 USDAbout DatabricksDatabricks is the data and AI company. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Named Core Enterprise Account Executive - Financial Services

Company: Databricks

Location: Remote

Posted Aug 08, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.The impact you will have:Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partnersClose both new accounts and existing accountsIdentify and close quick, small wins while managing longer, complex sales cyclesExceed activity, pipeline, and revenue targetsTrack all customer details including use case, purchase time frames, next steps, and forecasting in SalesforceUse a solution-based approach to selling and creating value for customersPromote Databricks' enterprise cloud data platform powered by Apache SparkEnsure 100% satisfaction among all customersPrioritize opportunities and applying appropriate resourcesBuild a plan for success internally at Databricks and externally with your accountsWhat we look for:You have previously worked in an early stage company and you know how to navigate and be successfulField sales experience within big data, Cloud, or SaaS salesPrior customer relationships with CIOs, program managers, and essential decision makersSimply articulate intricate cloud technologies7+ years experience exceeding sales quotasExpertise with financial services institutions preferableSuccess closing new accounts while working existing accountsUnderstanding of Spark and big data preferablePassion for cloud technologiesBachelor's DegreeBenefitsComprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)Mental Health Wellness ResourcesPay Range TransparencyDatabricks is committed to fair and equitable compensation practices. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

GovCloud IAM Operations Engineer

Company: Databricks

Location: Washington DC

Posted Aug 06, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. Python, Boto3) to simplify, automate and reduce change timesExperience in a support or operations roleExperience with user audit accessExperience with NIST 800-53, FedRAMP, and related frameworks is preferredExperience with non-AWS clouds, such as GCP, Azure, etc. is valuedKnowledge of security and governance (profiles, permission sets, data visibility, sharing settings etc)Domain experience in US government and industry security compliance frameworks (e.g. FedRAMP), and broader Assurance and/or SecurityDomain experience in security compliance and auditing (e.g.

Senior Revenue Accounting Manager - EMEA

Company: Databricks

Location: Remote

Posted Aug 09, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. For example: review and approval documentation, deal checklists etc.Experience with Salesforce and subscription billing platforms is strongly preferred, usage-based SaaS contract experience a strong plusBenefits Company funded private medical insurance (for employees only)Company funded private dental plan (for employees only)Company funded health cash plan (for employees only)Life, disability and critical illness coverageCompany pension with employer contributionEquity awardsPaid parental leaveGym reimbursementAnnual personal development fundHome office & headphones reimbursementBusiness travel accident insuranceMental wellness resourcesAbout DatabricksDatabricks is the data and AI company. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. "ASC 606" or “IFRS 15”).Experience in working with Sales to assist with deal negotiations, providing guidance to ensure deal structures and commercial terms result in contracts which meet company policy and objectivesDeal review and operational accounting experience in a growing SaaS technology business.Experience in performing control activities in the quote-to-cash process. You will support Databricks' growth, while creating scalable and efficient processes in the EMEA region. You will partner with Sales, Deal Desk, Legal and Revenue Operations on deal structure to ensure revenue recognition and financial reporting goals are met. The impact you will have:Support the Sales organization by advising on complex accounting and finance compliance issues during contract/deal negotiations in order to ensure deals are structured in accordance with Databricks’ policy and U.S. GAAP (ASC 606) to maximize revenue.Partner with Deal Desk, Legal, and IT to identify gaps and develop and improve reporting and processes to minimize manual workarounds and maximize transactional efficiencyEstablish and maintain relationships with key business partnersReview customer contracts across varied business models, product lines and distribution channels to ensure documentation and accounting for non-standard contractsAssess the ongoing state of the local business and compliance requirements to support the operationsProvide management insights and recommendations for improving scalability and efficiencySupport the external reporting requirements for the quarterly and annual auditsSupport the continued enhancement of CPQ.Support the rollout of new products, services, and go to market models with consideration of our financial reporting objectives and efficient deal processesWhat we look for:Bachelor's degree with an emphasis in Finance or Accounting.Experience in both public accounting and corporate revenue accounting roles.Knowledge and understanding of current revenue recognition guidance for enterprise software and SaaS arrangements (eg.

Strategic Enterprise Account Executive - Communication, Media & Entertainment

Company: Databricks

Location: Other US Location

Posted Aug 08, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. Reporting to our Director of Enterprise Sales, as a Strategic Account Executive at Databricks you will manage one of our largest clients in the Communication, Media, & Entertainment vertical. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. As we continue our rapid expansion, we are looking for a creative, execution-oriented Strategic Enterprise Account Executive to join the Communication, Media, & Entertainment team and maximize the phenomenal market opportunity that exists for Databricks.

Sr. Technical Enablement Specialist

Company: Databricks

Location: Remote

Posted Aug 06, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$112,100—$198,400 USDZone 2 Pay Range$100,900—$178,600 USDZone 3 Pay Range$95,400—$168,700 USDZone 4 Pay Range$89,700—$158,800 USDAbout DatabricksDatabricks is the data and AI company. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. You should be accountable, organized, and able to lead cross-functional projects.

Senior Data Infrastructure Engineer

Company: Databricks

Location: Remote

Posted Aug 06, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. Databricks is headquartered in San Francisco, with offices around the globe. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. For more information regarding which range your location is in visit our page here.Zone 1 Pay Range$135,700—$240,000 USDZone 2 Pay Range$122,100—$216,000 USDZone 3 Pay Range$115,300—$204,000 USDZone 4 Pay Range$108,500—$192,000 USDAbout DatabricksDatabricks is the data and AI company. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. (preference for python)3+ years of experience in building data pipelines using Spark or dataframes.2+ years of experience in AWS, Azure or GCP.BS (or higher) in Computer Science, or a related field.Comfortable in exploring new tech or finding creative ways to solve problems.Experience in security engineering or detection engineering.Good communication skills, both written and verbal.Experience with NIST 800-53, FedRAMP, and related frameworks is preferred.Benefits Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)Pay Range TransparencyDatabricks is committed to fair and equitable compensation practices.

Senior Software Engineer - Backend

Company: Databricks

Location: Other US Location

Posted Aug 05, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. AWS, Azure, GCP, Docker, or Kubernetes.Experience with security and systems that handle sensitive data.Good knowledge of SQL.BenefitsComprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundWork headphones reimbursementEmployee Assistance Program (EAP)Business travel accident insurancePay Range TransparencyDatabricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. For instance, you might work on challenges such as:Resource management infrastructure powering the big data and machine learning workloads on the Databricks platform in a scalable, secure, and cloud-agnostic wayDevelop reliable, scalable services and client libraries that work with massive amounts of data on the cloud, across geographic regions and Cloud providersBuild tools to allow Databricks engineers to operate their services across different clouds and environmentsBuild services, products and infrastructure at the intersection of machine learning and distributed systems.What we look for:BS (or higher) in Computer Science, or a related field5+ years of production level experience in one of: Java, Scala, C++, or similar language.Experience developing large-scale distributed systems.Experience working on a SaaS platform or with Service-Oriented Architectures.Experience with cloud technologies, e.g.

Named Core Enterprise Account Executive - Financial Services

Company: Databricks

Location: New York City, NY

Posted Aug 08, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.The impact you will have:Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partnersClose both new accounts and existing accountsIdentify and close quick, small wins while managing longer, complex sales cyclesExceed activity, pipeline, and revenue targetsTrack all customer details including use case, purchase time frames, next steps, and forecasting in SalesforceUse a solution-based approach to selling and creating value for customersPromote Databricks' enterprise cloud data platform powered by Apache SparkEnsure 100% satisfaction among all customersPrioritize opportunities and applying appropriate resourcesBuild a plan for success internally at Databricks and externally with your accountsWhat we look for:You have previously worked in an early stage company and you know how to navigate and be successfulField sales experience within big data, Cloud, or SaaS salesPrior customer relationships with CIOs, program managers, and essential decision makersSimply articulate intricate cloud technologies7+ years experience exceeding sales quotasExpertise with financial services institutions preferableSuccess closing new accounts while working existing accountsUnderstanding of Spark and big data preferablePassion for cloud technologiesBachelor's DegreeBenefits Comprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)Mental Health Wellness ResourcesPay Range TransparencyDatabricks is committed to fair and equitable compensation practices. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Strategic Enterprise Account Executive, Life Science

Company: Databricks

Location: Remote

Posted Aug 08, 2023

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, socio-economic status, veteran status, and other protected characteristics.ComplianceIf access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. More than 9,000 organizations worldwide — including Comcast, Condé Nast, and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Based on the factors above, Databricks utilizes the full width of the range. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Along with the chance to close an exciting deal, we also offer accelerators above 100% quota attainment.The impact you will have:Meet with CIOs, IT executives, LOB executives, Program Managers, and other important partnersClose both new accounts and existing accountsIdentify and close quick, small wins while managing longer, complex sales cyclesExceed activity, pipeline, and revenue targetsTrack all customer details including use case, purchase time frames, next steps, and forecasting in SalesforceUse a solution-based approach to selling and creating value for customersPromote Databricks' enterprise cloud data platform powered by Apache SparkEnsure 100% satisfaction among all customersPrioritize opportunities and applying appropriate resourcesBuild a plan for success internally at Databricks and externally with your accountsWhat we look for:You have previously worked in an early stage company and you know how to navigate and be successfulField sales experience within big data, Cloud, or SaaS salesPrior customer relationships with CIOs, program managers, and essential decision makersSimply articulate intricate cloud technologies7+ years experience exceeding sales quotasSuccess closing new accounts while working existing accountsUnderstanding of Spark and big data preferablePassion for cloud technologiesBachelor's DegreeBenefitsComprehensive health coverage including medical, dental, and vision401(k) PlanEquity awardsFlexible time offPaid parental leaveFamily PlanningGym reimbursementAnnual personal development fundEmployee Assistance Program (EAP)Mental Wellness ResourcesPay Range TransparencyDatabricks is committed to fair and equitable compensation practices. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.

Frequently Asked Questions

What is it like to work at Databricks?
Employees describe Databricks as a fast‑moving, data‑centric environment that encourages deep technical ownership. The company offers robust mentorship programs, regular hackathons, and a culture that rewards experimentation with new ML models and stream‑processing pipelines. Remote work is supported, but on‑site teams in Chicago, San Francisco, and Washington, D.C. meet weekly for cross‑functional syncs. Career growth is transparent, with documented promotion tracks and frequent performance reviews that focus on measurable impact.
What types of positions are available at Databricks?
Databricks posts roles in software engineering, infrastructure and platform engineering, data engineering, machine learning research, security engineering, product management, user experience design, marketing, sales, and customer success. Each role typically requires experience with Python, Scala, or Java, strong problem‑solving skills, and familiarity with cloud platforms such as AWS, Azure, or GCP. Data‑focused positions often involve building or optimizing Delta Lake workloads, while platform roles focus on expanding the Lakehouse API and improving performance at scale.
How can I stand out as an applicant for Databricks?
Showcase hands‑on experience with Spark or Delta Lake by sharing GitHub repositories or open‑source contributions. Prepare for technical interviews by mastering distributed systems concepts, algorithm design, and coding in your chosen language. Highlight any real‑world data‑engineering projects where you improved performance or reliability at scale. During the interview, demonstrate curiosity by asking about the company’s roadmap for Lakehouse, and convey how you can accelerate that vision with your unique skill set.

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