--- title: 'Senior Manager, Identity & Access Management (IAM) at Databricks' canonical: 'https://feeny.ai/job/senior-manager-identity-access-management-iam-databricks-mountain-view-y23rcw339wj5' type: 'job' last_seen: '2026-09-05' --- # Senior Manager, Identity & Access Management (IAM) at Databricks - **Company:** Databricks - **Location:** Mountain View, CA - **Compensation:** $217k–$265k - **Posted:** 2025-11-20 - **Last confirmed live:** 2026-09-05 - **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8301830002 ## Job description 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](https://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 Do Strategic 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. Build and Lead High-Performing Teams - 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. IAM Architecture & Engineering - 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. Governance, Compliance & Risk - 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. Cross-Functional Partnership - 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. ## What You Bring - 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. ## Why Join Us - 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](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf). Local Pay Range $217,000—$264,600 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en). ## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing). 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. ## About Databricks ## Company Overview - **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale. - **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed) - **Headquarters**: San Francisco, California, USA - **Founded**: 2013 - **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others) ## Core Business - Primary industry: Data & AI Platform / Enterprise Software - Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500 - Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us) ## Products & Services - **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog. - **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era. - **Genie**: AI-powered natural language assistant for data insights and querying. - **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data. - **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services. ## Market Standing - **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure) - **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/) - **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms. - **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks) ## Competitive Advantages - **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in. - **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community. - **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises. - **Strong data governance**: Unity Catalog provides centralized access control and lineage. - **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data. ## Strategic Focus - Expanding AI capabilities with natural language interfaces and autonomous agents. - Deepening integrations with cloud providers and open-source ecosystems. - Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC). - Cultivating a developer and data science community through university programs and open-source contributions. ## Why Work Here - **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers) - **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally. - **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events. - **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more. ## Sources 1. [Databricks About Us](https://www.databricks.com/company/about-us) 2. [Databricks Careers](https://www.databricks.com/company/careers) 3. [Databricks Homepage](https://www.databricks.com/) 4. 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