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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.
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.
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.
Skills Required
- 5+ years of software engineering experience
- Experience designing, building, and operating large-scale distributed systems in production environments
- Experience with 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 perform root-cause analyses for production issues
- Strong communication and cross-team collaboration skills
- B.S. in Computer Science, Engineering, or a related field, or equivalent practical experience
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision for employees and dependents, plus dedicated mental-health resources and an EAP. Wellness and gym reimbursements further support wellbeing.
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Equity Value & Accessibility — Equity grants (RSUs/stock options) are highlighted as a major part of compensation and are often viewed as attractive. Occasional tender-offer liquidity and performance bonuses reinforce total rewards.
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Parental & Family Support — Paid parental leave, fertility benefits, and subsidized backup dependent care are emphasized. Family medical leave and caregiver support also feature in the package.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
