Engineering Manager - Service Foundations

(P-995)

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 tackle 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.

In this role, you will work closely with leaders across the company, within engineering, as well as with product management, field engineering, recruiting, and HR. You will lead critical infrastructure initiatives that build and operate distributed systems, driving company-wide efficiency, reliability, and automation. You’ll shape how the next generation of systems is built—integrating AI-driven tooling directly into the infrastructure itself to make it more adaptive, scalable, and intelligent.

• • Solve real business needs at a large scale by applying your software engineering
  • Ensure consistent delivery against milestones and strong alignment with the field working "two-in-a-box" with product leadership
  • Evolve organizational structure to align with long term initiatives, build strong "5 ingredient" teams with good comms architecture
  • Manage technical debt, including long term technical architecture decisions and balance product roadmap
  • Leading and participating in technical, product, and design discussions 
  • Building, managing, and operating a highly scalable services in the cloud
  • Growing leaders on the team by providing coaching, mentorship, and growth opportunities
  • Partnering with other engineering and product leaders on planning, prioritization and staffing
  • Creating a culture of excellence on the team while leading with empathy

• • 10+ years of industry experience building and operating large-scale distributed systems.
  • Proven ability to build, grow, and manage high-performing infrastructure teams, including developing managers and tech leads
  • Deep experience running large-scale cloud infrastructure systems (AWS, Azure, or GCP), ideally across multiple clouds or regions
  • Ability to translate requirements from internal engineering teams into clear priorities and execution plans
  • Fluent across the infrastructure stack — storage, orchestration, observability, and developer platforms — with intuition for how these layers interact..
  • Ability to evaluate and evolve abstractions — knows when to unify, when to localize, and how to reduce cognitive load for product teams.

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. 

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.