Data Architect

Synectics for Management Decisions IncWashington, DC
$150,000 - $160,000Hybrid

About The Position

We're looking for a Data Architect to support the design, review, optimization, and evolution of an enterprise data environment for a federal government client - including data standards and models, Lakehouse architecture, pipeline design reviews, and metadata/lineage integration. Job location is the Washington, DC Metro Area. Hybrid or Remote options can be considered. Position is contingent upon contract award. Join a collaborative team supporting high-impact federal programs that incorporate innovative technology solutions. You'll have the opportunity to lead complex modernization initiatives, work alongside talented technical professionals, and help shape the future of government IT and data management.

Requirements

  • Extensive experience designing enterprise data architectures on AWS, including Medallion/Lakehouse patterns
  • Experience with data modeling (relational and dimensional), metadata frameworks, and lineage/observability tooling
  • Experience evaluating and recommending data platform modernization approaches (e.g., catalog tools, managed database services)
  • Experience producing architecture diagrams, transition plans, and documentation for government or regulated environments
  • Strong understanding of security, privacy, and auditability requirements as they apply to data architecture
  • Must be able to pass a federal background investigation prior to starting work and maintain eligibility throughout the engagement.
  • Candidates must be authorized to work in the United States without current or future employer sponsorship.

Nice To Haves

  • AWS Certified Solutions Architect – Professional
  • DAMA CDMP – Practitioner

Responsibilities

  • Define data standards and models across the enterprise data environment
  • Advise on and evolve a Medallion (Bronze–Silver–Gold) Lakehouse architecture
  • Review pipeline designs for architectural consistency and scalability
  • Oversee metadata and lineage integration across the data platform
  • Support modernization efforts, including metadata catalog integration, managed database evaluation, and observability frameworks
  • Maintain updated data architecture diagrams and documentation, and produce transition plans for architecture changes
  • Ensure architecture recommendations reflect best practices for AWS-based Medallion/Lakehouse designs, interoperability, and applicable security, privacy, and auditability requirements
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service