Data Architect with Security Clearance

TEKsystems c/o Allegis GroupWashington Dc Brm, DC🇺🇸United StatesPosted Oct 16, 2026

Why This Role Stands Out

This hybrid role offers a unique opportunity to shape data architecture for critical federal grants and financial data, fostering significant career growth and skill development in a highly reputable organization. You'll thrive if you are a seasoned Data Architect with a passion for data governance and integration, eager to collaborate with diverse teams and contribute to impactful projects. Apply now to leverage your expertise in a dynamic, secure environment that values innovation and professional advancement.

Quick Overview

Seniority

Mid Senior

Employment type

Temporary/Casual

Work mode

Hybrid

Location

Washington Dc Brm, DC, United States

Posted

4 days ago

SQLSQL ServerAzure.NETJavaJenkinsKubernetesPostgreSQL

Job Description

Key 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.

Required Qualifications
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.