Engineering Manager - Lakebase Storage
Requirements
- Experience
- 2+ years
- Education
- Bachelor's degree
Joblaze summary
In the role of Engineering Manager at Databricks, the individual will oversee the development and deployment of critical Lakebase services, ensuring operational excellence in a 24/7 environment. Key skills include expertise in storage systems, distributed technologies, and familiarity with deployment tools like Docker and Kubernetes. This position is ideal for someone with a strong background in engineering leadership and a track record of building high-performing teams. Databricks emphasizes collaboration across engineering teams to enhance its global infrastructure.
Joblaze insights
- Listed about a month ago on Joblaze — tracked directly from Databricks's career page.
- Databricks has 788 other open roles including Solutions Architect Greenfield (New Logo) Start Ups France, Sr. Solutions Engineer - AI Natives Business, Senior Solutions Architect.
- 1056 active Kubernetes roles on Joblaze right now.
- 398 active Docker roles on Joblaze right now.
- 382 active Terraform roles on Joblaze right now.
Quick facts
- How much experience is required?
- At least 2 years of relevant experience for this Engineering Manager - Lakebase Storage role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Terraform, Bazel, Rust, Airflow, Jenkins, Kubernetes.
- What seniority level is this role?
- Databricks targets lead candidates for this position.
- Is this full-time or contract?
- Full-time for this Engineering Manager - Lakebase Storage role at Databricks.
From the original posting
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. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. It provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. You'll join as one of the founding engineering leaders to build out both the Lakebase product and our London presence.
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 click here.
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.