Role Details

Location

Berlin, Germany

Salary (est. USD)

~$140K - $220K (est. USD)

Estimated based on role seniority, company stage (Series I), and industry benchmarks. Actual compensation may vary.

How is this calculated?

Seniority band Senior / Lead

Base range $140K – $220K

Based on Web3 & AI industry compensation data. Seniority is inferred from role title keywords. Company stage affects ranges: early-stage (−15%), late-stage/public (+10%).

Department

Engineering

Type

Full-time

Vertical

AI

Posted

1 week ago

Hiring Manager

Best Guess

Job Description

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

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.