RDQ426R268
Databricks builds and operates some of the largest scale software systems on the planet. Every action and every operation performed on Databricks depends on reliable serving of identity information (users, groups, service principals). This puts Identity services into the critical path of everything else at Databricks and imposes the highest requirements for availability, scalability and performance.
As a Sr. Manager, Engineering on the Identity Platform team, you will build and operate highly available and scalable services that manage identities across multiple products in Databricks, allowing it to seamlessly scale and run across various geographic regions and clouds, and make Databricks the go-to product for big data processing in the cloud.
The impact you will have:
You will hire great engineers to build an outstanding team
You will support engineers in their career development by providing clear feedback, as well developing engineering leaders
You will ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence)
You will work with engineering and product leadership to build a long-term roadmap
You will coordinate execution and collaborate across teams to unblock cross-cutting projects
What we look for:
Great at hiring and developing talent, especially leadership
Great at creating efficient processes that increase velocity and quality
Managed teams that build and operate high-volume distributed systems in a SaaS environment
5+ years of experience with distributed systems and building services on top of containers
Have experience scaling engineering teams from 5 to 20+
Team player that will work with other departments (PM, CS) and engineering teams.
BS or higher in Computer Science, or a related field
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.