Job Description
(P-1384)
About the Team
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.
The impact you will have:
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
What we look for:
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.
BS in Computer Science (Masters or PhD Preferred)
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