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.
Databricks Unity Catalog is the industry’s only unified and open governance solution for data and AI, built into the Databricks Data Intelligence Platform. It enables data scientists, analysts, and engineers to securely discover, access, and collaborate on trusted data and AI assets across platforms. Unity Catalog enhances productivity through AI-powered governance, simplifying compliance while maximizing interoperability.
Sitting at the core of Databricks’ data access ecosystem, Unity Catalog tackles some of the toughest engineering challenges—low latency, high availability, and extreme scalability. As a Senior Engineering Manager, you will lead one of the Unity Catalog Infra teams in developing the next-generation highly scalable, performant foundation layer for our data governance platform, supporting hundreds of billions of daily API requests.

Key Responsibilities:

Technical Leadership: You will lead and guide the team in building a highly scalable, performant, and extensible storage foundation for our governance platform. You will make critical long-term technical architecture decisions and balance the product roadmap.
Operational Excellence: You will build software that is not just high quality but easy to operate. You will ensure the team delivers high-quality, reliable infrastructure services with robust SLAs, testing, and monitoring.
Team Development: You will oversee sustained recruitment of top-tier talent, fostering a well-organized and synergistic team structure, and collaborating effectively with internal and external stakeholders
Cross-Functional Collaboration: Work closely with product and infrastructure teams to align strategy, execution, and roadmap in alignment with organizational goals and priorities.

What We Look For:

5+ years experience building database systems, storage systems, data platforms, distributed systems, or large-scale backend systems.
At least 3 years of experience in managing top-tier engineering teams
BS in Computer Science (Masters or higher level of education preferred)
Passion for building highly scalable and reliable infrastructure
Experience scaling engineering teams from 5 to 20+
Define and meet SLOs for highly-available systems
Expertise in attracting, hiring and coaching engineers, who will meet the Databricks hiring standards. Experience up-leveling teams via hiring top-notch talent and growing existing team members.
Ensure the team builds high quality and reliable infrastructure services; previous experience leading teams in a complex technical domain, such as on distributed data systems or large-scale data platforms.

Pay Range Transparency:

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipates utilizing 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**$217,000**—$288,400 USDAbout 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.

BenefitsAt 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.