The role at Databricks involves leading the collection stack for data and AI infrastructure, focusing on both client and server-side components. The engineer will be responsible for defining schemas, managing identity handling, and ensuring high performance and reliability of data collection. This position requires collaboration with product management, design, and engineering teams to create scalable solutions that enhance user and business growth. The ideal candidate will have extensive experience in engineering and a strong background in SDK development.

• 10+ years of engineering experience, including time as a tech lead or leading other tech leads.
• Ownership of an SDK or client library consumed by external developers, including native iOS and Android.
• Deep browser-side JavaScript experience, including bundle size, async loading, and tracking prevention.
• Experience with high-throughput server-side collection, including edge endpoints and delivery guarantees.
• Practical grounding in consent and privacy requirements.
• Strong ability to collaborate across product, engineering, and design teams.

• Lead the collection stack end to end, including browser tags and mobile SDKs.
• Define the schema and versioning contract for data collection.
• Manage identity handling across anonymous and authenticated records.
• Integrate with other CustomerLake products like Profile & Campaign Agents.
• Maintain budgets on page weight, latency, and failure behavior.
• Partner closely with product management and design teams to build intuitive solutions.