P-1113
At Databricks, we are passionate about helping data teams 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 infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
About the Team
Serverless Compute Platform Team is responsible for building the compute infrastructure for all of Databricks Serverless product lines. As the TL for Serverless Compute Efficiency at Databricks, you will have the opportunity to lead the charter on reducing our costs and improving product margins. Your job is to identify, define, design and deliver these projects by leading other engineers, and by working closely with product teams and partner clouds.
The impact you will have:
- Develop a framework for understanding and tracking costs closely, working closely with Data Science teams
- Work closely with Product teams to understand the performance-cost tradeoffs and make those choices available in the Platform APIs
- Work closely with Cloud partners to align on the right Compute platforms to meet the product needs efficiently
- Develop a roadmap of Engineering projects that span 12-24 months, with progressive improvement in product margins
- Lead the team effectively to drive disciplined execution against the roadmap
What we look for:
- Candidates should have multiple years of experience in building and running large scale and mission critical infrastructure systems.
- Candidates must have experience in leading complex, cross-team, cross-layer, multi-quarter projects.
- Experience in developing and operating large scale distributed systems
- Experience in leading large / complex, multi-quarter technical projects
- Experience with leading Compute Efficiency projects
- Strong cross-team collaboration - leading without authority
- Strong at execution - project progress and dependency tracking
