P-1494
Databricks is the Lakehouse company. More than 7,000 organizations worldwide — including Comcast, Condé Nast, H&M and over 50% of the Fortune 500 — rely on the Databricks Lakehouse Platform to unify their data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe. Founded by the original creators of Apache Spark™, Delta Lake and MLflow, Databricks is on a mission to help data teams solve the world’s toughest problems. To learn more, follow Databricks on Twitter, LinkedIn, andFacebook.
For more information, visit www.databricks.com.
About the Role
We are looking for an experienced and forward-thinking Senior Manager of Identity & Access Management (IAM) to lead the teams responsible for building and operating our enterprise-wide identity, authentication, authorization, and access governance systems. This leader will own the strategy, architecture, and execution of IAM capabilities that support our employees, customers, and platform services at global scale.
As the company grows, IAM is becoming a foundational pillar of our security posture and customer trust. You will ensure that our identity systems are secure, scalable, easy to use, and aligned with Zero Trust principles. This is a highly cross-functional leadership role partnering with engineering, security, IT, compliance, and product teams to deliver identity services that are reliable and secure by default.
What You’ll DoStrategic Leadership- Define the long-term IAM strategy, roadmap, and operating model across the enterprise and product ecosystem.
- Build scalable identity foundations that support global growth, cloud expansion, and evolving business needs.
- Establish best practices for identity lifecycle management, authentication, authorization, provisioning, and governance.
- Manage and grow IAM engineering and operations teams responsible for identity services, infrastructure, and tooling.
- Mentor technical leads and engineers; foster a high-performance and high-accountability culture.
- Develop effective team structures and prioritize workstreams aligned to business and security priorities.
- Lead the design and implementation of IAM capabilities including:
- Single Sign-On (SSO), MFA, and federated identity
- Role-Based Access Control (RBAC) and Attribute-Based Access Control (ABAC)
- Privileged Access Management (PAM)
- Identity lifecycle automation
- Directory services and identity stores
- Just-in-time access and least-privilege models
- Drive modernization of legacy systems and implementation of Zero Trust identity principles.
- Ensure scalability, high availability, and strong security controls across all identity platforms.
- Own identity governance programs including access reviews, audit readiness, onboarding/offboarding controls, and policy enforcement.
- Partner with compliance, risk, and legal teams to meet regulatory requirements (SOC2, ISO, FedRAMP, SOX, GDPR, etc.).
- Ensure operational rigor, strong documentation, and sustainable controls that withstand audits and customer expectations.
- Work closely with IT, Product Security, Cloud Infrastructure, and Engineering to embed identity best practices throughout the organization.
- Collaborate with product teams to ensure customer-facing identity capabilities are secure, intuitive, and scalable.
- Build strong relationships with internal stakeholders and serve as a trusted advisor on identity issues.
- 8–12+ years of experience in security, identity engineering, or related technical fields
- Deep technical expertise in modern IAM technologies, directories, authentication protocols (SAML, OIDC, OAuth), and identity standards.
- Hands-on architecture or engineering experience within cloud environments (AWS/GCP/Azure).
- Experience implementing Zero Trust identity models and privileged access management frameworks.
- Strong understanding of identity governance, compliance requirements, and audit processes.
Proven track record of leading high-performing teams and delivering complex, cross-functional programs. - Excellent communication, influencing, and stakeholder management skills.
- Lead and shape the future of the company’s identity strategy during a period of rapid growth.
- Work on highly impactful, company-defining initiatives that protect our people, platform, and customers.
- Solve complex IAM challenges across cloud, SaaS, and hybrid environments.
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 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
- 8-12+ years of experience in security, identity engineering, or related technical fields
- Deep technical expertise in modern IAM technologies and identity standards
- Hands-on architecture or engineering experience within cloud environments (AWS, GCP, Azure)
- Experience implementing Zero Trust identity models
- Strong understanding of identity governance and compliance requirements
- Proven track record of leading high-performing teams and delivering complex programs
- Excellent communication and stakeholder management skills
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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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.
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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.
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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
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.
