Databricks is a data and AI company that helps data teams solve complex problems through their platform. They are seeking an Engineering Manager to lead a team responsible for critical components of the compute platform, influencing product velocity and customer experience.
Responsibilities:
- Own and evolve the compute platform to support all Databricks workloads, enabling engineers to build world-class products with high velocity and best-in-class performance
- Hire exceptional engineers and invest in their growth through coaching, feedback, and career development
- Raise the technical and operational bar through strong design practices, testing, and a culture of engineering excellence and platform mindset
- Partner with engineering and product leadership to define long-term strategy and roadmaps
- Lead cross-team initiatives that span product and infrastructure surface areas
- Influence architectural decisions beyond your immediate team
Requirements:
- 10+ years of experience building and operating large-scale distributed systems, including strong practices around testing, monitoring, and reliability
- 3+ years of engineering management experience leading high-performing teams
- Proven ability to collaborate across engineering, product, and business stakeholders
- Experience scaling teams and systems through rapid growth
- BS, MS, or PhD in Computer Science or related field, or equivalent experience
- Deep expertise in cloud infrastructure (AWS, Azure, GCP) and containerized environments (Kubernetes) is preferred