Engineering Manager Storage

P-1534

At Databricks we are passionate about enabling data teams to solve the worlds toughest problems. We do this by building and running the worlds best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

As an Engineering Manager you will work with your team to build mission-critical Lakebase services on the Databricks Platform at scale.

Key responsibilities include:

• Drive continuous delivery within a team of experts in storage technology distributed systems and Rust.
• Manage the development and rollout of storage services that host millions of customer databases across dozens of regions
• Partner with peer engineering teams across Databricks to co-evolve Lakebase services with our global infrastructure.
• Lead operational excellence in 24/7 operation of our system

The impact you will have:

• Hire great engineers to build an outstanding team.
• Support engineers in their career development by providing clear feedback and develop engineering leaders.
• Ensure high technical standards by instituting processes (architecture reviews testing) and culture (engineering excellence).
• Work with engineering and product leadership to build a long-term roadmap.
• Coordinate execution and collaborate across teams to unblock cross-cutting projects.

What we look for:

• Experience with building and shipping storage systems where correctness and performance are essential
• BS (or higher) in Computer Science or a related field
• 2 years of experience building and leading a team of engineers working in a related system
• Experience with build release and deployment infrastructure technologies such as Spinnaker Jenkins Airflow Docker Kubernetes Terraform Bazel etc.
• Ability to attract hire and coach engineers who meet the Databricks hiring standards - can up level existing team via hiring top-notch senior talent growing leaders and helping struggling members; can gain trust of the team and guide their careers
• Comfort working on cross-functional projects with the ability to deeply understand product and customer personas