Engineering Manager - Identity and Access Management; IAM

Position: Engineering Manager - Identity and Access Management (IAM)
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, Linked In 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…