Engineering Manager - Storage
About this role
P-1534
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems. 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.
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
Responsibilities
- 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
- 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.
Requirements
- Coordinate execution and collaborate across teams to unblock cross-cutting projects.
- 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
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.