> Markdown version of [/jobs/ext/4661227-enterprise-data-architecture-lead](https://www.wearedevelopers.com/jobs/ext/4661227-enterprise-data-architecture-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Data Architecture Lead - **Company:** Integral Federal - **Location:** Tysons, VA, United States - **Experience:** Expert - **Salary:** $150,000 - $160,000 - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Databases, Data Architecture, Data Governance, Data Integration, Data Integrity, Data Mapping, Oracle (Applications), Salesforce.Com, SQL Databases, Systems Integration, Information Technology, Data Lineage, Data Management - **Published:** November 10, 2026 - **Apply:** https://www.clearancejobs.com/jobs/9301813/enterprise-data-architecture-lead ## About the Role * Bachelor's Degree in computer science or IT with 10+ years' experience * Senior enterprise data architecture experience with relational systems, APIs, migration and data governance. * Strong SQL Server/data modeling experience and familiarity with integrating heterogeneous legacy databases. * Ability to lead source-to-target mapping, reconciliation controls, migration rehearsals and integrity assurance. * Capability to critically validate AI-assisted mapping or SQL output before implementation * Public Trust Preferred: * Oracle, Salesforce, .NET/EF Core, AWS/VAEC and REST event/data integration. * VA MPI/ICN or identity data correlation. Cemetery, case-management and government records integration ## Description * Define canonical entities, data contracts, referential integrity, transformation rules and data stewardship across value streams. * Lead BOSS-E/MBMS-to-EISS data mapping, reconciliation, migration rehearsal design and exception handling. * Architect identity/MPI/ICN correlation, external interfaces and appropriate data lineage, retention and auditing. * Use authorized AI assistants to accelerate schema comparisons and mapping drafts, with human review and no unapproved sensitive data. Establish automated data-quality checks, rollback criteria and evidence for VA acceptance and cutover readiness.