Director, Identity, Entitlements & Activity

Veeam is the Data and AI Trust Company, specializing in helping organizations ensure their data and AI are fully understood, secured, and resilient to enable the acceleration of safe AI at scale. As the market leader in both data resilience and data security posture management, Veeam is built for the convergence of identity, data, security, and AI risk. Headquartered in Seattle with offices in more than 30 countries, Veeam protects over 550,000 customers worldwide, who trust Veeam to keep their businesses running. Join us as we go fearlessly forward together, growing, learning, and making a real impact for some of the world’s biggest brands.

About the Role

Organizations hold sensitive data across file systems, cloud storage, and SaaS applications, and they need to know who can access it, who actually does, and whether that access is appropriate. As Director, you will lead the team that builds this capability: collecting entitlements and activity from connected systems, modelling ownership through groups and nested groups, and correlating that with data sensitivity to show exposure and drive policy. The platform deploys both in the cloud and on-premises. You will own the technical direction, the delivery, and the team.

What You’ll Do

- Set the strategy and roadmap: Own the roadmap for entitlement collection, activity analysis, and access-risk insights. Balance new application coverage against reliability, scale, and customer escalations.

- Lead, hire, and grow the team: Lead a distributed team across multiple geographies, and hire and mentor engineers at every level.

- Take over and stabilize: Take ownership of an existing pipeline from the current group, run the knowledge transfer, and make the team self-sufficient.

- Own the architecture: Be accountable for resumable, idempotent entitlement scans, incremental collection, a normalized entitlement model, and a graph-based model of principals, resources, and access. Make deliberate trade-offs across the search, analytical, and graph stores, and keep them consistent as volume grows.

- Scale for large customers: Plan for billions of files and very high event volume. That includes collecting activity from each new application despite its own throttling and APIs and reliably moving data from on-premises deployments to the cloud without inappropriate throttling.

- Partner across the organization: Work with the connector, content classification, and data engineering teams, plus product and support, to deliver a coherent access-governance capability.

- Raise the engineering bar: Review designs and failure modes with real technical depth.

What You’ll Bring

- 10+ years in software engineering, including 5+ years leading engineering teams.

- A track record of owning large-scale distributed data systems in production: pipelines that scan, ingest, and reconcile large volumes of data, with correctness, resumability, and failure handling.

- Experience in identity and access management, data security, DSPM, CIEM, or data access governance.

- Strong technical credibility in Go, Java, or Python. You can review a design, spot race conditions and duplicate-processing risks, and ask hard questions.

- Working knowledge of graph databases or graph query languages, Elasticsearch or OpenSearch, and at least one large analytical store such as Databricks, Snowflake, or BigQuery.

- Experience building and managing teams across time zones, including hiring, performance management, and mentoring.

- Clear communication with engineers, product, and executives, and sound judgment about when to ship.

What you'll get

- Unlimited paid time off, 12 paid holidays including 4 global VeeaMe Days for self-care and 24 paid volunteer hours annually through Veeam Cares

- Paid parental leave: 8 weeks for all parents, 16 weeks for birthing parents

- Medical, dental, and vision coverage starting on