Staff Software Engineer - Data Platform
Databricks · Posted Nov 3
Data, analytics, machine learning, and generative AI intelligence platform services
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About the role
Databricks builds and runs a data and AI infrastructure platform used by data teams to solve business problems. The Data Platform team builds the cross-company Data Intelligence Platform containing business and product metrics, along with tooling for data pipelines, governance, orchestration, and infrastructure at scale. This Staff Software Engineer role will design and operate that platform, develop CI/CD and infrastructure-as-code tooling, and partner with product and data science teams.
What you will do
- 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 on 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.
Skills used in this role
What the employer is looking for
- BS/MS/PhD in Computer Science or related majors, or equivalent experience.
- 10+ years of industry experience building and operating large-scale distributed systems.
- 4+ 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Databricks
Databricks is a data and artificial intelligence company that provides a unified Data Intelligence Platform built on a lakehouse architecture. The platform combines data engineering, data warehousing, machine learning, and generative AI to help organizations manage and scale their data assets natively across major cloud providers. Founded by the original creators of Apache Spark, Databricks enables thousands of enterprises worldwide to power advanced analytics, business intelligence, and autonomous AI agents.
- Industry
- Data and AI Platform Software
- Company size
- 17300+ employees
- Founded
- 2013
- Location
- San Francisco, California, USA
- Funding stage
- Private Company
Funding
Private Company · $25.2B raised
- 2026-08-13Series L$5.0B
Leadership
Co-founder and Chief Executive Officer
Co-founder and Chief Technology Officer
Co-founder and Executive Chairman
Chief Financial Officer
Co-founder and Chief Architect
Recent coverage
Databricks Newsroom
Databricks Grows >80% YoY, Surpasses $7B Revenue Run-Rate, Scales Lakebase, Genie, and Unity AI Gateway2026-08-13
Forbes
Databricks Hits $190 Billion Valuation As CEO Ali Ghodsi Claims AGI Has Already Arrived2026-08-13
Databricks Newsroom
Databricks Launches Genie One: All-New Agentic Coworker for Every Team2026-06-16
Bloomberg
Context Needed to Reach AGI, Says Databricks CEO2026-06-16