E-Logic will provide a Senior Data Engineer/Architect to guide the U.S. Department of Transportation’s (DOT) enterprise data architecture and modernization efforts. This role is critical for designing scalable, secure, and compliant database systems that enable DOT to leverage data strategically across the agency. By establishing standards, governance frameworks, and integration strategies, the Data Architect ensures DOT’s data assets support mission-critical analytics, decision-making, and regulatory compliance.

SKILLS, AND QUALIFICATIONS:

• 8 years of progressive experience in database architecture and data engineering roles.
• Successfully led enterprise-scale database transformation projects, including vendor selection and implementation.
• Proven ability to facilitate cross-functional technical discussions and deliver business cases to senior leadership.
• Established comprehensive technical standards, governance frameworks, and best practices.
• Supported complex database migration and modernization initiatives, including cloud transformations.
• Designed and implemented enterprise data integration strategies across multiple business lines.
• Expert in architecting scalable data systems (data lakes, warehouses, analytics platforms).
• Experience with both on-premises and cloud-native architectures in hybrid environments.
• Architected comprehensive database security frameworks for regulated industries (healthcare, finance, government).
• Knowledge of FISMA compliance requirements, including ATO processes and continuous monitoring.
• Knowledge of data privacy regulations with proven governance program implementation.
• Supported organizational security audits, remediation efforts, and enterprise-wide data protection strategies.
  Important Notice:
  This role is part of a proposal for the U.S. Department of Transportation. Hiring is contingent upon the selection of the consultant. Selected candidates will be included in the proposal and must authorize the use of their resume for submission

• Design enterprise database architectures and evaluate technology solutions.
• Create integration strategies and establish data quality standards.
• Facilitate technical discussions and architecture reviews.
• Plan database consolidation, optimization, and migration initiatives.
• Develop strategy and roadmap to operationalize data governance.
• Design database security frameworks and FISMA-compliant solutions.
• Architect data privacy and protection strategies.
• Support compliance efforts and audit preparation activities.
• Provide technical guidance on database and integration solutions.
• Translate business requirements into technical solutions.
• Present technical recommendations to leadership.
• Establish database standards, best practices, and governance processes.