Lead Data Architect

About SHR Consulting Group SHR is a premier technology integrator solving our nation’s most complex modernization and readiness challenges across the defense, federal civilian, and intelligence markets. Our robust portfolio of offerings includes high-end solutions in systems engineering and integration, enterprise IT, including cloud services: cyber, software, advanced analytics, and AI. With an intimate understanding of our customers’ challenges and deep expertise in existing and emerging technologies, we integrate the best components from our own portfolio and our partner ecosystem to deliver innovative, effective, and efficient solutions. Position Summary SHR Consulting Group is 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. Minimum…