Databricks

Sr. Engineering Manager

Berlin, Germany
Unity Scala Java Python Spark
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Description

RDQ424R30

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. 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. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

We're looking for a Sr. Engineering Manager to build and establish the Unity Catalog team in Berlin. Unity Catalog is a unified governance solution for data and AI assets on the Databricks Lakehouse. It provides centralized access control, auditing, lineage, and data discovery capabilities across Databricks workspaces.

As one of the core infrastructure components, Unity Catalog interfaces with almost every major component in the Databricks infrastructure.  As a Sr. Engineering Manager, you will be leading critical initiatives, solving  deeply technical problems, while also collaborating with Senior leaders in other teams to deliver solutions that spread across multiple services.  Today, Unity Catalog is still in its infancy and you have the opportunity to shape the infrastructure and the strategy of one of the most critical pieces of the Data Lakehouse platform.

The impact you will have:

  • Hire a world-class software engineering team, from sourcing to closing.
  • Establish high technical standards through processes and culture.
  • Mentor and coach engineers to help them carve out a fulfilling career, build strong individual contributors and leaders. 
  • Help develop a multi-year vision with incremental deliverables.
  • Evangelize and uphold our cultural principles: be customer obsessed, be data-driven, team work makes the dream work, and own it.

What we look for:

  • At least 7 years of Engineering experience and 4 years of Engineering Management experience.
  • Ability to attract, hire, and coach world-class engineers. Can uplevel existing team via hiring top-notch senior talent, growing leaders and helping struggling members. Can gain trust of team and guide their careers.
  • Partner with Product, Sales, and Customers to develop new features.
  • Good knowledge of Scala, Java, Python, or similar languages.
  • 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 TwitterLinkedIn 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
Databricks
Analytics Artificial Intelligence Information Technology Machine Learning Software

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