About the company
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. We build and run the world's best data and AI infrastructure platform.
Responsibilities
- Design and run the cross-company Data Intelligence Platform, which contains every business and product metric used to run Databricks.
- 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.
- Represent Databricks at academic and industrial conferences & events.
Requirements
- 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.
- 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.
Conditions
- Comprehensive benefits and perks provided. Specific details vary by region.