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.

IT Support Specialist

Company: Databricks

Location: Silicon Valley CA

Posted Oct 29, 2022

Databricks is hiring an IT Support Specialist to help scale and improve business processes, provide customer service, and troubleshoot technical issues. The role requires experience with high-volume ticketing systems, ITSM systems, and troubleshooting skills. The company offers a range of benefits, including comprehensive health coverage, 401(k) plan, and equity awards.

Senior Jira Systems Engineer

Company: Databricks

Location: Silicon Valley CA

Posted Oct 27, 2022

Databricks is seeking a skilled JIRA and Atlassian Solutions Engineer to help scale and optimize their business processes and project management infrastructure. The role involves building out governance, best practices, and automation for Atlassian Project Management Systems, driving governance and hygiene standards, and collaborating with external systems. The ideal candidate has 5+ years of experience administering, maintaining, and managing the Atlassian product suite, with a focus on JIRA administration, governance, and best practices.

Senior Marketing Operations, Product Manager

Company: Databricks

Location: Remote

Posted Oct 30, 2022

Databricks is a company that values diversity and inclusion, and is committed to fostering a culture where everyone can excel. The company is looking for a Senior Marketing Operations Product Manager to help build out its Martech stack and lead technology implementation projects.

Engineering Manager

Company: Databricks

Location: Seattle WA

Posted Oct 31, 2022

Databricks, founded by the creators of Apache Spark, is a global organization with over 1000 employees. They are passionate about enabling data teams to solve complex problems, from security threat detection to cancer drug development. They achieve this by building and running the world's best data and AI infrastructure platform. Databricks is expanding its engineering center in Seattle, seeking experienced leaders to build a high-functioning R&D organization. The ideal candidate will have at least two years of experience leading complex engineering teams, a strong ability to deliver customer value, and experience managing distributed teams. Benefits include extended health care, equity awards, flexible vacation, and more.

Senior Financial Analyst, Sales Finance

Company: Databricks

Location: Seattle WA

Posted Nov 04, 2022

Databricks is looking for a Senior Financial Analyst to join the Sales Finance team. The role involves preparing financial reports, improving forecast reliability, and scaling systems to support business growth.

Enterprise Account Executive, Life Sciences

Company: Databricks

Location: Chicago IL

Posted Oct 27, 2022

The job description is for an Enterprise Account Executive at Databricks, requiring a strategic sales professional with experience in selling into Life Sciences accounts. The role involves closing new accounts, maintaining existing ones, and exceeding sales quotas.

Backline Engineer (Spark)

Company: Databricks

Location: Chicago IL

Posted Oct 31, 2022

The job posting is for a Backline Technical Solutions Engineer position at Databricks. The role involves troubleshooting, resolving, and suggesting deep code-level analysis of Spark for complex customer issues. The candidate will also provide best practices guidance, contribute to automation programs, and work with the Spark Engineering Team. The position requires minimum 6 years of experience in developing, testing, and sustaining Python, Java, or Scala-based applications.

Named Enterprise Account Executive

Company: Databricks

Location: Brooklyn NY

Posted Oct 30, 2022

Databricks is seeking an Enterprise Account Executive to sell their cloud data platform powered by Apache Spark. The ideal candidate has experience in selling to Enterprise accounts, is passionate about communicating the value of the product, and has a track record of exceeding sales quotas.

Enterprise Account Executive, CME

Company: Databricks

Location: Other US Location

Posted Oct 29, 2022

The job posting is for an Enterprise Account Executive in Databricks' Communication, Media, Entertainment vertical. The role involves selling innovation and change to Enterprise accounts, closing new and existing accounts, and meeting sales targets. The company offers a range of benefits, including comprehensive health coverage, equity awards, and flexible time off.

Enterprise Account Executive - Germany

Company: Databricks

Location: Remote

Posted Oct 27, 2022

Databricks is looking for a creative, delivery-oriented Enterprise Account Executive to join the team in Germany to maximize the phenomenal market opportunity. The role involves working with enterprise-class customers, identifying new business opportunities, and providing exceptional value to customers.

Customer Success Engineer

Company: Databricks

Location: Chicago IL

Posted Oct 27, 2022

Databricks is looking for Customer Success Engineers to work with customers, build relationships, and help them become successful and enthusiastic Databricks champions. The role involves managing customer lifecycle, building relationships, and identifying new use cases to grow accounts.

Sr. Product Designer, Platform

Company: Databricks

Location: Silicon Valley CA

Posted Oct 29, 2022

Databricks is a company that aims to make data science simpler and more accessible, with a mission to help data teams solve the world's toughest problems. The company is committed to fostering a diverse and inclusive culture and offers a range of benefits to its employees.

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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