The Engineering Manager at Databricks will lead a team responsible for critical components of the compute platform that supports all Databricks workloads. This role focuses on enhancing product velocity and customer experience while ensuring the platform's scalability. The manager will be involved in hiring exceptional engineers and fostering their growth through coaching and feedback. Additionally, they will partner with engineering and product leadership to define long-term strategies and influence architectural decisions.

• 10+ years of experience building and operating large-scale distributed systems.
• 3+ years of engineering management experience leading high-performing teams.
• Deep expertise in cloud infrastructure (AWS, Azure, GCP) and containerized environments (Kubernetes) is preferred.
• 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.

• Own and evolve the compute platform to support all Databricks workloads.
• Hire exceptional engineers and invest in their growth through coaching and feedback.
• Raise the technical and operational bar through strong design practices and a culture of engineering excellence.
• 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.