Partner with internal product engineering teams to make Databricks products better and more supportable.
Understand how to maintain high reliability of the Databricks platform to successfully achieve customer business goals.
Competencies & Requirements
Proven people leadership experience: at least 3+ years as a manager
10+ years in the IT industry, with a strong background in Software Engineering with specialization in Data Engineering, ideally with Big Data & Cloud experience.
Experience leading teams either in engineering, technical support, or consulting. Support experience is not required - but customer facing experience is highly desirable.
Hands-on experience in at least two of the following at production scale:
Big Data (Spark, Hadoop, Kafka)
Machine Learning / Artificial Intelligence projects
Data Science / Streaming use cases
Spark expertise is a big advantage.
Strong background in customer-facing support leadership roles.
Excellent troubleshooting skills across distributed systems.
Strong ownership mindset with ability to thrive in a fast-paced, startup-like environment with evolving needs.
Bachelor’s/Master’s in Computer Science or equivalent technical field.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
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.
