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Software Development

Senior Software Engineer - Access Management

Databricks · Bellevue, Washington

Software DevelopmentBellevue, Washington$155,900 – $214,400 USD
RemoteJobs editorial overview

Strategic Overview

Senior Software Engineer - Access Management at Databricks is defined by the responsibilities and candidate requirements in the employer's listing.

The published role emphasizes work such as Design, build, and operate scalable authorization systems that enforce access control across the Databricks platform.

The role is listed for Bellevue, Washington, giving candidates the practical context needed to assess fit before applying.

Job seeker snapshot

Key information at a glance

Role focusSoftware Development
LocationBellevue, Washington
Salary$155,900 – $214,400 USD
PostedNov 4, 2026
Last seenNov 5, 2026
Role context

About This Role

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.

The Access Management team owns the core systems that determine what users, applications, and automated workloads can do across the Databricks platform.

What the role delivers

Key Responsibilities & Objectives

  • 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
  • Experience designing, building, and operating large-scale distributed systems in production environments
Candidate blueprint

Required Qualifications & Candidate Blueprint

  • 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
Compensation & benefits

Salary & Benefits

Published compensation: $155,900 – $214,400 USD

  • 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.
Live market comparison

Salary Benchmark

This role’s published compensation is compared with active employer-disclosed ranges for the same role at the Senior level, in the same currency and pay period.

This job$155,900 – $214,400 USD
Current market range$55,000 – $1,700,000 · per year
Comparable jobs156

Benchmark uses active employer job postings in our database, excludes this listing, and matches the currency and pay period. It is not a third-party salary estimate; currencies are not converted.

Employer-provided source content

Full Job Description

The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.

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.

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.

RemoteJobs original analysis

Editor’s Market Perspective (Our Custom Analysis)

Why This Position Matters

This opening may suit candidates who can demonstrate experience relevant to the employer's published requirements. Its strongest career signal is the scope of the work itself — particularly Design, build, and operate scalable authorization systems that enforce access control across the Databricks platform — rather than a generic title alone.

Resume & Application Strategy

For the application, connect specific examples from your experience to the responsibilities and qualifications in the employer's description. Quantify outcomes from comparable work, and place the most relevant evidence near the top of the resume. When the employer explicitly names tools, platforms, leadership scope, or domain experience, use those source terms accurately and in context.

Source transparencygreenhouse

We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.