Engineering Manager - Storage
TLDR
Manage the development and rollout of storage services hosting millions of customer databases on the Databricks Platform while supporting engineers' growth and ensuring high technical standards.
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
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.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Databricks develops a robust Data Intelligence Platform that empowers over 10,000 organizations globally to unify and democratize data, analytics, and AI. Designed for businesses looking to leverage the full potential of their data, Databricks stands out for its innovative solutions created by the original developers of Lakehouse and Apache Spark.
- Founded
- Founded 2013
- Employees
- 51-200 employees
- Industry
- Internet Software & Services
- Total raised
- $47M raised