Enterprise Data Architecture Lead

Integral•Tysons, VA

1d•$150,000 - $160,000

About The Position

The Enterprise Data Architecture Lead will support the VA Memorials Integration Services and Innovation (MISI) program, owning VA-EISS data architecture, source-to-target mapping, and legacy migration design across EISS, BOSS-E, MBMS, and VA enterprise data integrations. The role defines data structures and governance, leads mapping and migration activities, and architects identity correlation and external interfaces. It also establishes data-quality checks, rollback criteria, and evidence for VA acceptance and cutover readiness. Authorized AI assistants may be used to accelerate schema comparisons and mapping drafts, with human review and without unapproved sensitive data. This position is in the proposal stage. Integral Federal considers the scope and responsibilities of the position, candidate experience, education and skills, and current market conditions when determining salary offers. Depending on the position, employees may be eligible for overtime, shift differential, and/or discretionary bonuses in addition to base pay.

Requirements

Bachelor’s degree in computer science or IT and 10+ years of experience.
Senior enterprise data architecture experience with relational systems, APIs, migration, and data governance.
Strong SQL Server and data modeling experience, with familiarity integrating heterogeneous legacy databases.
Ability to lead source-to-target mapping, reconciliation controls, migration rehearsals, and integrity assurance.
Ability to critically validate AI-assisted mapping or SQL output before implementation.
Public Trust.

Nice To Haves

Experience with Oracle, Salesforce, .NET/EF Core, AWS/VAEC, and REST event/data integration.
VA MPI/ICN or identity data correlation experience.
Experience integrating cemetery, case-management, and government records.

Responsibilities

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 and external interfaces, and establish appropriate data lineage, retention, and auditing.
Use authorized AI assistants to accelerate schema comparisons and mapping drafts, ensuring human review and avoiding unapproved sensitive data.
Establish automated data-quality checks, rollback criteria, and evidence for VA acceptance and cutover readiness.