Engineering Manager - Backend Job in Databricks

About Databricks

At Databricks, we are driven by our passion for enabling data teams to solve the world s most challenging problems from building the next mode of transportation to accelerating medical breakthroughs. We achieve this by creating the world s leading data and AI infrastructure platform, empowering our customers to leverage deep data insights to transform their businesses.

Founded by engineers and customer-obsessed, we thrive on solving technical challenges, whether it s designing next-gen UI/UX for data interaction or scaling services and infrastructure across millions of virtual machines. And we re just getting started.

The Opportunity

As one of the first Engineering Managers in the Software Engineering team at Databricks India, you will be at the forefront of building infrastructure and products at scale for the Databricks platform. You will lead a talented team working on complex and highly scalable systems, contributing to multiple domains, including:

• Resource management infrastructure for big data and machine learning workloads scalable, secure, and cloud-agnostic.
• Reliable, scalable services and client libraries that handle massive amounts of data across multiple regions and cloud providers.
• Developer tools for operating services across different clouds and environments.
• Services and infrastructure at the intersection of machine learning and distributed systems.

The Impact You Will Have

• Build and lead an exceptional engineering team by hiring and retaining top talent.
• Ensure high technical standards through robust processes (e.g., architecture reviews, testing) and foster a culture of engineering excellence.
• Define and execute long-term roadmaps, collaborating with engineering and product leadership.
• Coordinate execution and unblock cross-team projects, ensuring alignment and timely delivery.

What We Look For

• 10+ years of experience with large-scale distributed systems, including strong expertise in testing, monitoring, and defining SLAs.
• Proven experience as a Software Engineering Leader, building and scaling engineering teams from the ground up.
• Strong technical background, with extensive experience managing high-performing software engineering teams.
• Proven ability to partner with Product Management, Sales, and Customers to develop innovative features and products.
• BS (or higher) in Computer Science or a related field.

About Databricks

Databricks is the data and AI company, trusted by more than 10,000 organizations worldwide, including Comcast, Cond Nast, Grammarly, and over 50% of the Fortune 500. We help unify and democratize data, analytics, and AI through the Databricks Data Intelligence Platform.

Founded by the original creators of Apache Spark, Delta Lake, MLflow, and the Lakehouse architecture, Databricks is headquartered in San Francisco with offices across the globe.