Senior Data Architect

We are seeking a Senior Data Architect to support the USDA Farm Production and Conservation (FPAC) Enterprise Data and Analytics Platform (EDAPT). This role will lead enterprise-wide data architecture initiatives across cloud and hybrid environments, enabling scalable analytics, secure integration, and governance-driven data management. The ideal candidate will translate business and mission requirements into modern data solutions that support enterprise reporting, advanced analytics, and trusted decision-making while ensuring compliance with federal security and data governance standards., * Define and maintain enterprise data architecture standards, frameworks, and roadmaps supporting FPAC’s EDAPT environment.

• Translate business requirements into scalable technical architectures across data lakes, warehouses, analytics platforms, and operational systems.
• Establish end-to-end data strategy including ingestion, transformation, storage, governance, and consumption patterns.
• Develop architecture artifacts including conceptual, logical, and physical data models.
• Architect enterprise data ecosystems spanning cloud and hybrid environments including AWS and on-premises platforms.
• Lead implementation of scalable data solutions using AWS S3, Athena, Glue, Redshift, Databricks, Oracle, SQL Server, PostgreSQL, and related technologies.
• Design and govern multi-source integrations and enterprise data pipelines.
• Establish patterns for secure data sharing and interoperability across business domains.
• Drive metadata management, lineage tracking, cataloging, and governance practices.
• Implement and maintain governance frameworks leveraging tools such as Unity Catalog and enterprise metadata repositories.
• Ensure architecture alignment with federal security and compliance requirements including FISMA, FedRAMP, and NIST 800-53.
• Define standards for data quality, stewardship, retention, and lifecycle management.
• Serve as the senior technical authority for enterprise data architecture initiatives.
• Collaborate with executives, product owners, developers, and data engineering teams.
• Review architectural designs, database models, and engineering implementations for scalability and performance.
• Mentor technical teams and establish architectural best practices.

• Bachelor’s degree in computer science, Information Systems, Engineering, or related field.
• 10+ years of experience in enterprise data architecture, data engineering, or data platform modernization.
• U.S. Citizenship required.
• Proven experience leading large-scale enterprise data architecture initiatives.
• Hands-on experience with AWS data services such as S3, Athena, Glue, and Redshift.
• Experience across hybrid environments including Oracle, SQL Server, PostgreSQL, Informix
• Strong experience with: Data Warehousing, Data Lakes, Metadata Management, Data Governance, Data Modeling, Enterprise Integration Patterns
• Knowledge of: FISMA, FedRAMP, NIST 800-53., * Experience supporting USDA or other Federal Civilian agencies.
• PMP, PMI-ACP, Scrum Master, or SAFe certifications.
• Exposure to cloud data ecosystems (AWS, Azure, GCP).
• Knowledge of ETL, data lake, data governance, and modern BI platforms.

Nice to Have Technologies JIRA | Confluence | Power BI | Tableau | SQL | Snowflake | Azure Data Factory | AWS Analytics | Data Warehouse | Agile | Scrum | Federal Delivery

• Comprehensive Medical, Dental, and Vision Plans (Healthcare benefits are 100% employer-paid for employees only)
• Life Insurance
• Paid Time Off (Flexible/Combined PTO, Bereavement Leave, 11 Company Paid Holidays)
• 401K Retirement Plan with employer match
• Professional Development Training Reimbursement