The impact you will have
Own Money systems and services that govern usage of all Databricks products and offerings.
Enhance engineering and infrastructure efficiency, reliability, accuracy, and response times, including CI/CD processes, test frameworks, data quality assurance, end-to-end reconciliation, and anomaly detection.
Collaborate with platform and product teams to develop and implement innovative infrastructure that scales to meet evolving needs.
Contribute to long-term vision and requirements development for Databricks products, in partnership with our engineering teams.
What we look for
BS (or higher) in Computer Science, or a related field
7+ years of production level experience in one of: Java, Scala, C++, or similar language
Comfortable working towards a multi-quarter vision with incremental deliverables
Proven track record in architecting, developing, deploying, and operating components of large scale distributed systems
Experience with software security and systems that handle sensitive data
Demonstrated ability to lead engineering projects across functional and organizational boundaries
A proactive approach and a passion for delivering high-quality solutions
Experience with cloud technologies, e.g. AWS, Azure, GCP, Docker, Kubernetes
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.
