Sr. Software Engineer - AI + Data Intelligence Platform

Sr. Staff Software Engineer - AI + Data Intelligence Platform

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At Databricks, we are passionate about enabling data teams to solve the world's 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 world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next‑gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines.

And we're only getting started.

• Design and run the cross‑company Data Intelligence Platform, which contains every business and product metric used to run Databricks. You’ll play a key role in developing the right balance of data protection and ease of shareability for the Data Intelligence Platform as we transition to a public company.
• Develop tooling and infrastructure to efficiently manage and run Databricks at scale, across multiple clouds, geographies, and deployment types. This includes CI/CD processes, test frameworks for pipelines and data quality, and infrastructure‑as‑code tooling.
• Partner with our engineering teams to provide leadership in developing the long‑term vision and requirements for the Databricks product.
• Build reliable data pipelines and solve data problems using Databricks, our partner’s products, and other OSS tools. Provide early feedback on the design and operations of these products.
• Represent Databricks at academic and industrial conferences & events.

• AI first mindset – Your personal productivity is augmented with AI to drive high‑impact, technically complex initiatives and code that delivers clear value.
• BS/MS/PhD in Computer Science or related majors, or equivalent experience.
• 15+ years of industry experience building and operating large‑scale distributed systems.
• 6+ years of experience providing technical leadership on planet‑scale production data systems.
• Experience leading architecture efforts for performance‑sensitive systems (e.g., latency‑critical services, multi‑tenant platforms, large‑scale indexing pipelines).
• Strong communication skills and the ability to operate effectively in fast‑paced, cross‑functional environments.
• A strategic mindset with the ability to align engineering execution with longer‑term product and company goals.
• Passion for mentoring and developing other engineers.

Zone 1 Pay Range: $228,400—$303,550 USD

Databricks is the data and AI company. More than 10,000 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 Twitter, Linked In and Facebook.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit

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, socio‑economic status, veteran status, and other protected characteristics.

Mid‑Senior level

Full‑time

Software Development