Lead Cybersecurity - Identity Data Engineer

What Youll Do:

• Own end-to-end development of batch, streaming, and event-driven pipelines that ingest identity, entitlement, and audit data (LDAP, SCIM, REST, SQL, API, log, and file).
• Design and implement identity correlation, matching, and de-duplication logic to create a single source of truth for every human and non-human identity.
• Model data using RadiantLogic IDDF/IDDM (or equivalent) to publish global profiles over LDAP, REST, and Graph APIs.
• Partner with IAM, PAM, HRIS, Cloud, and Application teams to understand schemas, define SLAs, and automate data quality controls.
• Build lineage dashboards and monitoring to ensure data freshness, integrity, and compliance (SOX, PCI, HIPAA).
• Continuously improve pipeline performance, reliability, and security through CI/CD, IaC, and automated testing.

What Youll Need To Bring:

• 14+ years in data engineering or IAM data analytics
• Hands-on with ETL/ELT frameworks
• Exposure to IAM concepts: IGA, PAM, RBAC/ABAC, MFA, directory services.
• Experience with identity protocols and APIs LDAP, SCIM v2, REST/JSON, OAuth/OIDC, SAML.
• Proven record of correlating identities across HR, AD/AAD, SailPoint, CyberArk, AWS/GCP/Azure.
• Strong data-modeling skills (relational, graph, and/or document).

Nice To Have:

• Radiant Logic IDDF/IDDM, Global Identity Builder, or comparable virtualization platform.
• Infrastructure-as-Code (Terraform, CloudFormation, ARM/Bicep).
• CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps).

Additional Skills & Qualifications

• Bachelor s or master s in computer science, Data Engineering, or Cybersecurity
• Strong communication, diagramming, and documentation abilities able to explain complex data flows to both engineers and executives.
• Self-starter who can prioritize, execute, and iterate in a fast-moving environment.