P-931

At Databricks, we are passionate about helping data teams 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, Databricks has started a multi-year journey to build the best Data Intelligence Platform. For this we are building on top of a great foundation but our goal is to go further to build dramatically better products. From the Storage Engine (data layout, encryption, caching, ...) to the Query Engine (Vectorization, Query Optimization, …), we want to revisit every component to provide our customers with the fastest, easiest to use and most secure data platform for all their data workloads.

Our Managed Tables solution is key to this mission. Managed Tables deliver Data Intelligence capabilities to our users; thye provide (a) best out-of-box performance with automatic maintenance and optimizations on tables via Predictive Optimization (b) hassle free data-layout through Liquid Clustering and (c ) easy path to adopt ManagedTables by supporting a wide spectrum of interoperability with legacy and external clients.

We are seeking a visionary Engineering Manager to drive the innovation and adoption of ManagedTables. In this role, you will lead a high-performing engineering team, drive strategic initiatives, and collaborate with product and technical stakeholders to deliver turnkey solutions to our customers.

The impact you will have:

Hire great engineers to build an outstanding team. Drive strategic vision for the team and product. Ensure high technical standards by instituting processes (architecture reviews, testing) and culture (engineering excellence). Mentor and coach engineers to help them carve out a fulfilling career. Deliver infrastructure and product to make our customers' lives better, and to support Databricks' record-breaking growth. Evangelize and uphold our cultural principles: be customer obsessed, be truth seeking, demonstrate bias for action to name a few. 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:

BS or higher in Computer Science, or a related field At least two years of experience building and leading highly complex, technical engineering teams. Motivated by delivering customer value and impact. Ability to attract, hire, and coach world-class engineers. Experience with distributed systems, databases, compilers, performance optimisation or big data systems (Spark, Hadoop) Experience managing an ML platform, SaaS, or data focused product. Comfortable working cross functionality with product management and directly with customers; ability to deeply understand product and customer personas.

 

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Local Pay Range$192,000—$260,000 USD

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.