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.

Senior IT Product Manager (GTM Systems)

Company: Databricks

Location: San Francisco, CA

Posted Aug 31, 2023

Databricks is seeking a Sr. IT Product Manager to lead roadmap, scoping, and planning efforts for their use of Salesforce and related products. The role involves working closely with leaders and stakeholders across lines of business to define and shape ideas for business transformation projects. The successful candidate will have 5+ years of relevant product management experience and strong knowledge of Salesforce, Agile/Scrum teams, and consumption-based business models.

Sr. Engineering Manager - ML Platform

Company: Databricks

Location: Other US Location

Posted Sep 02, 2023

Databricks is seeking a Senior Engineering Manager to lead initiatives around LLM performance, data plane reliability & scalability, and overall margins. The position involves leading a talented engineering team, recruiting top-tier talent, and evolving processes to improve operational excellence. The manager will also work closely with platform teams to build rock-solid infrastructure and drive company-wide impact.

Emerging Digital Native Business Account Executive

Company: Databricks

Location: Other US Location

Posted Aug 30, 2023

The text describes a job posting for an Emerging Digital Native Business Account Executive at Databricks. The role involves selling innovation, guiding deals, and closing new accounts. The company offers accelerators above 100% quota accomplishment and a solution approach to selling. The ideal candidate should have experience in early-stage companies, big data, cloud, or SaaS sales, and be able to articulate complex cloud technologies. The company offers comprehensive health coverage, 401(k) Plan, equity awards, and flexible time off. The pay range is not specified in the text.

Staff Technical IT Program Manager

Company: Databricks

Location: Other US Location

Posted Sep 06, 2023

Databricks, a leading data and AI company, is seeking a Staff Program Manager to lead business applications and NPI projects. The role involves planning and coordinating with multiple teams to deliver enterprise-class product releases. The ideal candidate should have 8+ years of experience in software development, testing/UAT program management, and understanding of cloud services. They should also have experience with Agile/Scrum methodologies and project management tools like Jira.

Specialist Solutions Architect - Data Engineering

Company: Databricks

Location: Remote

Posted Sep 06, 2023

Databricks is seeking a Specialist Solutions Architect (SSA) - Data Engineering with 5+ years of experience in a customer-facing technical role. The role involves guiding customers in building big data solutions on Databricks, architecting production level data pipelines, and becoming a technical expert in areas such as data lake technology, big data streaming, or big data ingestion. The candidate will also contribute to the Databricks community through tutorials and training, and may have deep specialty expertise in scaling big data workloads, development tools, cloud infrastructure, and industry-specific data analytics use cases. The role offers a competitive salary package, benefits, and opportunities for career development.

Named Core Enterprise Account Executive - Financial Services

Company: Databricks

Location: Remote

Posted Aug 29, 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. 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 more information regarding which range your location is in visit our page here.Local Pay Range$204,800—$362,200 USDAbout 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.

Emerging Digital Native Business Account Executive

Company: Databricks

Location: Remote

Posted Aug 30, 2023

The job posting is for a sales executive position at Databricks, a company that provides data and AI solutions. The job requires strong sales skills, experience in big data and cloud sales, and the ability to work with customers and partners. The company offers a competitive salary range, benefits, and a commitment to diversity and inclusion.

Named Core Enterprise Account Executive - Financial Services

Company: Databricks

Location: Remote

Posted Aug 29, 2023

Databricks is seeking an Enterprise Account Executive with experience in selling into Financial Services accounts. The role involves meeting with CIOs, IT executives, and other decision-makers to close both new and existing accounts. The candidate should have a deep understanding of cloud technologies, particularly Spark and big data, and a proven track record of exceeding sales quotas. Databricks offers comprehensive benefits, including health coverage, 401(k) plan, equity awards, and flexible time off. The company is committed to diversity and inclusion, and the role requires access to export-controlled technology if necessary.

Senior IT Product Manager (GTM Systems)

Company: Databricks

Location: San Francisco, CA

Posted Aug 31, 2023

Databricks is seeking a Senior IT Product Manager to lead roadmap, scoping, and planning efforts for Salesforce and related products. The role involves designing product vision and strategy, collaborating with cross-functional teams, and analyzing opportunities to improve the Salesforce environment. The ideal candidate should have 5+ years of relevant product management experience, strong knowledge of Salesforce, and expertise in Agile/Scrum teams. Databricks offers comprehensive benefits, including health coverage, 401(k) Plan, equity awards, and flexible time off.

Senior IT Product Manager (GTM Systems)

Company: Databricks

Location: Other US Location

Posted Aug 31, 2023

Databricks is seeking a Sr. IT Product Manager to lead roadmap, scoping, and planning efforts for their use of Salesforce and related products. The role involves working closely with business partners and engineering teams to ensure timely delivery of high-quality products and drive adoption. The ideal candidate should have 5+ years of relevant product management experience.

Senior IT Product Manager (GTM Systems)

Company: Databricks

Location: Other US Location

Posted Aug 31, 2023

Databricks is seeking a Senior IT Product Manager to lead roadmap, scoping, and planning efforts for Salesforce and related products. The role involves designing product vision and strategy, collaborating with cross-functional teams, and analyzing opportunities to improve the Salesforce environment. The ideal candidate should have 5+ years of relevant product management experience, strong knowledge of Salesforce, and experience with Agile/Scrum teams.

Specialist Solutions Architect - Data Engineering

Company: Databricks

Location: Remote

Posted Sep 06, 2023

Databricks is seeking a Specialist Solutions Architect (SSA) - Data Engineering with fluent proficiency in English and Portuguese/Spanish. The role involves guiding customers in building big data solutions on Databricks, providing technical leadership, architecting production level data pipelines, and becoming a technical expert in areas such as data lake technology, big data streaming, or big data ingestion. The ideal candidate should have 5+ years of experience in a customer-facing technical role with expertise in data ingestion, streaming technologies, performance tuning, and building data pipelines using big data technologies. Deep specialty expertise in scaling big data workloads, cloud infrastructure services, and industry-specific data analytics use cases is desired. Databricks offers comprehensive benefits and a mission to help data teams solve complex problems.

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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