Staff Software Engineer - Data PlatformActive
The opportunity
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…
What you'll 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.
BS/MS/PhD in Computer Science or related majors, or equivalent experience.
What they're looking for
- + years of industry experience building and operating large-scale distributed systems.
- + 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.
