Staff Software Engineer - Data Platform
Databricks5 hours ago
Responsibilities
- Design and operate the cross-company Data Intelligence Platform containing business and product metrics.
- Develop tooling and infrastructure to run Databricks at scale across multiple clouds, geographies, and deployment types.
- Build CI/CD processes, pipeline test frameworks, data-quality tooling, and infrastructure-as-code solutions.
- Build reliable data pipelines using Databricks, partner products, and open-source tools.
- Provide technical leadership on architecture, product vision, and long-term engineering requirements.
- Mentor and develop engineers and represent Databricks at academic and industrial conferences and events.
Requirements
- BS, MS, or PhD in Computer Science or a related major, 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 such as latency-critical services, multi-tenant platforms, or large-scale indexing pipelines.
- Strong communication skills and the ability to work effectively in fast-paced, cross-functional environments.
- Strategic mindset with the ability to align engineering execution with longer-term product and company goals.
- Passion for mentoring and developing other engineers.
Benefits
- Comprehensive benefits and perks are offered, with specific details varying by region.
Tech Stack
Databricks
Categories
Data Engineering
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog. --- Databricks applicants Please apply through our official Careers page at databricks.com/company/careers. All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).