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Lead Data Architect

Job in Washington, District of Columbia, 20022, USA
Listing for: SHR Consulting Group
Full Time position
Listed on 2026-10-16
Job specializations:
  • IT/Tech
    Data Engineering
Salary/Wage Range or Industry Benchmark: 155000 - 180000 USD Yearly USD 155000.00 180000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Lead Data Architect

Paris, VA, US

Salary Range: $ To $ Annually

SHR Consulting Group, LLC is a small business delivering enterprise IT, cybersecurity, and program management services to the Department of Defense and federal civilian agencies. We support mission-critical infrastructure at the Pentagon and across the National Capital Region, and we invest in our people through competitive compensation, professional certification support, and long-term career growth on stable, multi-year programs.

We are seeking a senior Lead Data Architect as a Key Personnel for a bid opportunity to provide enterprise data architecture leadership for a FEMA effort.

The Lead Data Architect will establish and evolve the overarching data architecture while ensuring that pipelines, integrations, data products, external sharing mechanisms, and AI/ML data services remain scalable, secure, maintainable, and aligned with FEMA's enterprise architecture.

This position is CONTINGENT UPON CONTRACT AWARD. Candidates selected for consideration must be willing to authorize the submission of their resume and qualifications in support of our proposal response.

Key Responsibilities

  • Lead the design and evolution of FEMA's enterprise data architecture.
  • Design enterprise-wide cloud data platforms and scalable data-processing architectures.
  • Develop and govern Medallion/Lakehouse architecture patterns
    .
  • Design and oversee metadata-driven ingestion frameworks.
  • Design scalable real-time and streaming architectures
    .
  • Establish architectural patterns supporting growth in data sources, data volume, velocity, concurrency, and users.
  • Ensure new pipelines, integrations, and data products conform to FEMA's architecture standards.
  • Define reusable architecture and integration patterns rather than one-off implementations.
  • Oversee end-to-end data lineage from source systems through curated data layers and downstream consumption.
  • Support technical implementation of FEMA data governance requirements, including:
    • Metadata management
    • Data classification and tagging
    • Cataloging
    • Fine-grained access controls
    • Data lineage and provenance
  • Develop architecture supporting secure external data exchange and ingestion.
  • Architect data services supporting AI/ML workloads, including feature pipelines, curated datasets, embedding/vector stores, and retrieval pipelines as required.
  • Support platform capacity planning, performance engineering, elastic scaling, workload isolation, and cost optimization.
  • Troubleshoot complex enterprise pipeline and architecture issues.
  • Provide architecture guidance and technical leadership to engineering teams and Government stakeholders.
  • Maintain architecture documentation sufficient for Government personnel or successor contractors to operate and extend the platform.

Required Qualifications

  • Extensive experience designing enterprise-scale cloud data platforms and architectures.
  • Demonstrated experience with Databricks Lakehouse or comparable enterprise cloud data platforms
    .
  • Strong hands-on knowledge of Medallion architecture
    .
  • Demonstrated expertise designing scalable real-time streaming topologies
    .
  • Experience designing data architectures within Federal cloud or similarly regulated environments.
  • Strong understanding of enterprise data integration, data modeling, lineage, metadata management, governance, and access controls.
  • Experience designing architectures supporting high-volume batch and streaming workloads.
  • Ability to troubleshoot complex data pipeline and architecture failures.
  • Experience establishing reusable enterprise architecture patterns and technical standards.
  • Strong written and verbal communication…
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