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.

Sr. Software Engineer - Performance

Company: Databricks

Location: Other US Location

Posted May 19, 2023

Databricks is seeking a performance engineer to work on improving the performance of their data and AI infrastructure platform. The role involves identifying performance bottlenecks, setting performance targets, and collaborating with engineering teams to resolve performance and scalability issues. The ideal candidate should have a degree in Computer Science, experience in performance analysis, software development, and large-scale distributed systems. They should also be able to measure and document the impact of performance features, build relationships with developers and field engineers, and understand the performance characteristics of various cloud services.

Senior Software Engineer - Frontend

Company: Databricks

Location: Seattle, WA

Posted May 18, 2023

Databricks is a data and AI company that offers the Databricks Lakehouse Platform to help data teams solve complex problems. They are looking for a Senior Frontend Engineer with experience in HTML, CSS, JavaScript, and modern JavaScript frameworks to work on large-scale products and contribute to a customer-centric vision.

Director, IT Customer Success

Company: Databricks

Location: Other US Location

Posted May 18, 2023

Databricks is hiring a Director of IT, Customer Success to drive execution of new capabilities and build strong partnerships with the business team. The role involves working closely with the Customer Success organization and defining IT capabilities needed to support their needs.

Staff / Senior Staff Product Manager, Self-Service Analytics

Company: Databricks

Location: San Francisco, CA

Posted May 16, 2023

The text describes a product manager role at Databricks for self-service analytics capabilities. The role involves leading the evolution of existing dashboarding capabilities, advancing analytical foundations, and leveraging technical innovations to democratize access to data and insights. The product manager will coordinate all product activities, engage with enterprise customers, and work closely with engineering and design counterparts. The impact will be to democratize data in the Lakehouse and make Databricks simpler and more accessible.

Solutions Architect : Big Data / AI

Company: Databricks

Location: Remote

Posted May 19, 2023

The job description is for a Solutions Architect (Analytics, AI, Big Data, Public Cloud) role at Databricks. The candidate will be a technical advisor to the sales team, work with the product team, and help customers achieve data-driven outcomes using Databricks Lakehouse Platform. The role requires extensive experience in big data, analytics, data engineering, and data science. The candidate will report to the Solutions Architect Manager and have the opportunity to grow as a leader in their field.

Staff Product Designer, Data Visualization

Company: Databricks

Location: Seattle, WA

Posted May 17, 2023

Databricks is seeking a Product Designer with 7+ years of experience in creating impactful data visualizations. The role involves leading a wide range of data visualization product features, empowering customers to build insightful and beautiful graphs, and developing self-service analytics solutions. The ideal candidate should possess a unique combination of technical knowledge and visual design skills, with a portfolio showcasing the end-to-end design process. Experience with Big Data products and coding languages like Python, R, SQL is a plus. Databricks offers comprehensive benefits and is committed to fostering a diverse and inclusive culture.

Named Core Enterprise Account Executive - Financial Services

Company: Databricks

Location: Remote

Posted May 19, 2023

The job posting is for an Enterprise Account Executive role at Databricks, a data and AI company. The position requires experience in selling to Financial Services accounts, understanding of Spark and big data, and the ability to communicate the value of Databricks' enterprise cloud data platform. The company offers accelerators above 100% quota attainment and a comprehensive benefits package. Databricks is committed to fostering a diverse and inclusive culture.

Senior Software Engineer - Backend

Company: Databricks

Location: San Francisco, CA

Posted May 18, 2023

Databricks is a company that enables data teams to solve complex problems by building and running a data and AI infrastructure platform. They are looking for a software engineer to work on building infrastructure and products for the Databricks platform at scale.

Enterprise Account Executive, State Department

Company: Databricks

Location: Washington DC

Posted May 17, 2023

None Found

Senior Network Engineer

Company: Databricks

Location: Other US Location

Posted May 17, 2023

Databricks is seeking a Senior Network Engineer to join their Corporate Engineering team and help grow and scale their campus Network infrastructure and zero trust framework. The role involves managing LAN, WAN, and VPN approaches, providing infrastructure for secure and performant networks, developing network automation, and facilitating partnerships with security and compliance teams.

Senior Software Engineer - Infrastructure and Tools

Company: Databricks

Location: San Francisco, CA

Posted May 18, 2023

Databricks is a company that enables data teams to solve complex problems by building and running a data and AI infrastructure platform. They are looking for a Senior Software Engineer to build scalable systems and improve software development workflows.

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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