Sr. Staff Software Engineer Metadata Intelligence

RDQ126R92

About Databricks
At Databricks we empower data teams to solve the worlds toughest challengesfrom security threat detection to cancer drug development. Our mission is to build the best data and AI infrastructure platform enabling our customers to focus on innovation.

About the Role

Databricks Unity Catalog is the industrys only unified and open governance solution for data and AI built directly into the Databricks Data Intelligence Platform. It provides organizations with a comprehensive view of their data enabling seamless governance and discovery across all formats. The platform boosts productivity through intelligent search automated insights and auto-generated documentation.

We are looking for senior leaders like you to help shape the vision and strategy of this space. The teams charter spans:

• Business metadata: capturing and inferring metadata to improve data understanding.
• Lineage infrastructure: building distributed systems to discover data and ML models and track lineage across the lakehouse.
• Unified tagging: delivering a consistent tagging framework for discovery governance and cost optimization.
• Governance and observability: creating end-user solutions for unified policy enforcement and visibility.

As a Senior Staff Software Engineer you will define the vision architecture and strategy of this product. You will play a critical role in enabling customers to integrate cutting-edge applications empowering developers to thrive on Databricks and shaping the future of data and AI platforms.

Your Impact

• Lead key initiatives for Unity Catalog including lineage tagging and the unified governance hub by planning and executing large-scale technical projects.
• Architect and influence: design system architecture shape the product roadmap and take ownership of projects from concept to delivery.
• Optimize at scale: drive debugging performance measurement and optimization across the platform.
• Safeguard reliability: apply deep technical expertise to prevent detect and resolve production issues.
• Lead and mentor: serve as a Technical Lead mentoring engineers guiding project planning and effectively delegating work.

What Were Looking For

• Proven leadership: strong track record of delivering initiatives that prioritize customer satisfaction and incremental value.
• Technical depth: deep computer science expertise (algorithms data structures) applied to real-world distributed systems.
• Influence and collaboration: ability to drive adoption shape product direction and communicate effectively across functions in a fast-paced environment.
• Mentorship and impact: demonstrated experience mentoring engineers and scaling teams through technical leadership.
• Preferred experience: expertise in data governance (access compliance privacy) data lineage data observability data quality or intelligent platforms.

Join us in shaping the future of Databricks and enabling the next generation of data and AI innovation!

Required Experience:

Staff IC