P-1137

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.

The Access Management team owns the core systems that determine what users, applications, and automated workloads can do across the Databricks platform. You will evolve the platform's authorization service, consolidate permission checking under a unified authorization model, and build fine-grained controls including scoped service identities, delegated access, role-based access control, and network ingress policies—all while improving the availability and reliability of a high-throughput, low-latency service.

The Impact You Will Have

Design, build, and operate scalable authorization systems that enforce access control across the Databricks platform
Own complex technical projects end-to-end, from design through delivery and production operation
Drive technical decisions and contribute to architectural direction for access management infrastructure
Improve system reliability, performance, and security for high-throughput, low-latency services
Collaborate with teams across engineering and product to deliver unified authorization capabilities
Mentor engineers and elevate team engineering practices

What We Look For

5+ years of software engineering experience
Experience designing, building, and operating large-scale distributed systems in production environments
Experience with one or more programming languages including Java, Scala, C++, or Go
Understanding of distributed systems fundamentals, including concurrency, microservices architecture, and cloud infrastructure
Experience with authorization systems, identity management, or security-focused infrastructure
Ability to diagnose performance bottlenecks and execute root-cause analyses for production issues
Strong communication skills and ability to collaborate effectively across teams
B.S. in Computer Science, Engineering, or a related field, or equivalent practical experience

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

$155,900—$214,400 USD

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.