Database Architect

About the role

VHB is seeking a Database Architect to join our Technology Enablement team. This is an exciting opportunity to design and lead enterprise data architecture solutions that support the markets VHB serves, including Transportation, Energy, State/Local Government and Real Estate. In this role, you will help shape scalable, secure, and high-performing database environments that enable innovative digital solutions and data-driven decision-making across the organization. Our teams leverage modern technologies and agile practices to deliver impactful solutions that help improve mobility, sustainability, and resource accessibility. The systems and platforms we build support critical business operations and client initiatives that make a meaningful difference in the communities we serve. If you are passionate about enterprise data architecture, database optimization, data governance, and building scalable data solutions, we encourage you to join our team. This position can be located in a variety of VHB locations and offers a hybrid work model with flexibility to work from any VHB office within our footprint. Applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship.

Responsibilities

• Design, develop, and maintain enterprise database architectures, data models, and data integration strategies
• Lead the planning and implementation of scalable, secure, and high-performing database solutions across multiple business applications
• Collaborate with cross-functional teams, stakeholders, vendors, and leadership to support enterprise data initiatives and system integration efforts
• Design and support databases and data architectures for transportation safety and crash data management systems, including data integration, reporting, analytics, and data quality initiatives
• Develop and maintain conceptual, logical, and physical data models aligned with business and technical requirements
• Define database standards, governance practices, naming conventions, and data quality processes
• Analyze current database environments and recommend improvements for performance, scalability, reliability, and maintainability
• Support data warehousing, ETL processes, and integration of new data