Engineering Manager - Identity and Access Management (IAM)

Reposted 12 Days Ago
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Mountain View, CA, USA
In-Office
190K-261K Annually
Expert/Leader
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead the IAM team at Databricks, responsible for building authentication, authorization, and identity services, ensuring security and compliance across data solutions.
Summary Generated by Built In

P-1107

At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions.

Customers trust Databricks with their most valuable data, and Trust & Safety has the mission to build the most trusted Data and AI platform in the world. Identity and Access Management (IAM) is at the heart of this mission, ensuring that the right users and services have the right access at the right time. We are looking for an Engineering Manager to lead our IAM team and define the strategy for how authentication, authorization, and identity services are built and scaled across our platform. You will lead a team owning foundational services that must be highly reliable, secure, and fast under extreme load.

The impact you will have:

  • Define and drive the strategy for IAM systems, including authentication and access control.
  • Build and scale a high-performing engineering team focused on authentication, authorization, and identity management at cloud scale.
  • Provide technical oversight on architecture and design for IAM components that can operate at massive scale, with high requirements for reliability, security, and performance.
  • Partner with engineering and product leaders across Databricks to embed secure, scalable identity solutions into every aspect of our product.
  • Ensure regulatory compliance and alignment with industry best practices for IAM, helping customers meet their own governance, privacy, and security needs.
  • Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and customer trust.

What we look for:

  • 9+ years of professional experience in software engineering, with 2+ years of engineering leadership experience in a fast paced, dynamic environment.
  • Experience building large-scale distributed systems with high availability and security requirements.
  • Strong track record building and managing high-performing teams, including experience scaling organizations through multiple phases of growth.
  • Proven success driving cross-functional security initiatives and influencing leaders without direct authority.
  • Ability to provide technical direction at the architecture level while fostering a pragmatic execution mindset.
  • Strong communication and leadership skills, with the ability to evangelize IAM practices and inspire both teams and stakeholders.
  • BS, MS, or PhD in Computer Science or a related technical field.

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
$190,000$261,250 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
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

  • 9+ years of professional experience in software engineering
  • 5+ years of engineering leadership experience
  • Deep expertise in IAM domains: authentication, identity management and access control
  • Experience building large-scale distributed systems with high availability and security requirements
  • Strong communication and leadership skills
  • BS, MS, or PhD in Computer Science or a related technical field

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.

  • Equity Value & Accessibility Equity grants and RSUs are a major part of total compensation and are highlighted for meaningful upside potential. Stock-based awards and refreshers contribute to strong overall pay positioning across senior technical and go-to-market roles.
  • Healthcare Strength Medical, dental, and vision coverage are complemented by mental-health resources, an EAP, and wellness reimbursements. Health benefits are consistently framed as comprehensive and competitive.
  • Parental & Family Support Paid parental leave for all parents, fertility support, and backup care options provide tangible assistance for family needs. Hybrid work norms and team-day structure further ease coordination for caregivers.

Databricks Insights

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The Company
New York, NY
2,200 Employees
Year Founded: 2013

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.

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