Data Architect

Analytica•Bethesda, MD

10d

About The Position

We are seeking an experienced Data Architect to define shared data models, terminology, governance, lineage, and integration patterns for Federal grants and financial data for a Federal data analytics and AI modernization initiative. The team will deliver a secure, scalable platform that integrates structured and unstructured data, provides data visualization and traceable AI-assisted analytics, and gives examiners centralized tools for search, review, monitoring, and decision support. The platform will support professional judgment and will not replace authoritative agency financial or grants-management systems or execute financial transactions.

Requirements

Experience designing enterprise data architectures, canonical models, metadata, and shared vocabularies.
Demonstrated experience integrating structured, semi-structured, and unstructured data from multiple authoritative systems.
Strong knowledge of data governance, lineage, quality, retention, stewardship, access, and auditability.
Experience defining scalable database, API, ingestion, and interoperability patterns for Federal or regulated environments.
Strong communication, documentation, problem-solving, and cross-functional collaboration skills.
Familiarity with relevant project technologies such as Linux, PostgreSQL or Microsoft SQL Server, Java or .NET, Jenkins, self-hosted Azure DevOps, Kubernetes/Rancher, and open-source AI models.
U.S. citizenship and ability to obtain and maintain Top Secret eligibility, as required for all contractor personnel supporting the effort.
Active Top Secret highly preferred.

Nice To Haves

Experience supporting Federal financial management, budget execution, grants management, payment systems, award oversight, financial reporting, or financial stewardship is preferred.
Experience supporting Federal financial management, grants, payment, or award-oversight platforms.

Responsibilities

Perform role-specific work to define shared data models, terminology, governance, lineage, and integration patterns for Federal grants and financial data.
Collaborate with pilot agencies, and multidisciplinary technical teams through iterative development and user testing.
Produce clear documentation that supports Government operation, maintenance, transition, and future expansion.
Follow Federal security, privacy, accessibility, records-management, and Government data-ownership requirements.