Data Architect Lead

About the role

The Role

Own the end-to-end data strategy for a Product Line, including data modeling, migration planning, ETL development, data governance, and analytics. Lead the successful migration of legacy supply chain data to modernized systems (DMLSS, LogiCole, VALIP) and integrate AI/ML-driven analytics capabilities. Develop and maintain product-specific data models and enterprise data architecture aligned to Product Line standards. Design, develop, test, and manage data tools to obtain and manage data sets from disparate sources; maintain project management plans for tool development efforts. Conduct data profiling, cleansing, enrichment, and validation aligned to VA standards and ensure data conformity to third-party requirements. Implement AI/ML algorithms and Generative AI capabilities for predictive forecasting, real-time data insights, and develop a Centralized Supply Chain Dashboard.

Responsibilities

• Own the end-to-end data strategy for a Product Line, including data modeling, migration planning, ETL development, data governance, and analytics.
• Lead the successful migration of legacy supply chain data to modernized systems (DMLSS, LogiCole, VALIP) and integrate AI/ML-driven analytics capabilities.
• Develop and maintain product-specific data models and enterprise data architecture aligned to Product Line standards.
• Design, develop, test, and manage data tools to obtain and manage data sets from disparate sources; maintain project management plans for tool development efforts.
• Conduct data profiling, cleansing, enrichment, and validation aligned to VA standards and ensure data conformity to third-party requirements.
• Implement AI/ML algorithms and Generative AI capabilities for predictive forecasting, real-time data insights, and develop a Centralized Supply Chain Dashboard.

Requirements

• Bachelor's degree in Computer Science, Data Science, Information Management, or a related field, with at least 13 years of experience.
• 8+ years of data architecture and data engineering experience, preferably within federal health IT.
• Demonstrated expertise in ETL development, data migration, and data governance in large-scale enterprise environments.
• Proficiency with database engineering, data modeling, and VA legacy systems (AEMS/MERS, GIP, Maximo, VistA).
• Experience with cloud data platforms (AWS, Azure, VAEC) and data pipeline tools, along with familiarity with FHIR data standards and HL7 messaging.
• Knowledge of AI/ML and Generative AI frameworks for predictive analytics and supply chain optimization, and understanding of VA data governance standards and HIPAA/PHI requirements.

Qualifications

• Must have a valid U.S. Government security clearance.

Skills

• Data modeling
• Data migration
• Data governance
• ETL development
• Database engineering
• AI/ML
• Generative AI
• FHIR data standards
• HL7 messaging
• VA data governance standards
• HIPAA/PHI requirements

Benefits

• Opportunity to work on critical, large-scale federal government projects.
• Engage with cutting-edge technologies, including AI/ML and Generative AI.
• Contribute to the modernization of essential data systems and supply chain operations.
• Collaborative and integrity-driven work environment with a focus on mission success.

Pay

• Competitive salary based on experience and qualifications.

Schedule

• Full-time position.