Entry Level Data Architect

VHB•Watertown, MA

21h•Hybrid

About The Position

VHB is seeking a talented entry-level Data Architect to join our data team. This is an exceptional opportunity for recent graduates or early-career professionals to develop expertise in data architecture, modeling, and systems design while contributing to enterprise-scale data solutions. This position offers hybrid options from any of VHB’s offices, with work hours aligned to the EST time zone. Occasional travel, usually to our headquarters in Watertown, MA, is required. Please note applicants must be legally authorized to work for VHB in the U.S. without employer sponsorship, now or in the future. We invite you to be part of a dynamic environment that fosters innovation, continuous learning, and collaboration. Apply today to make a significant impact on our expanding service offerings. Our people make the difference. We foster a technology-empowered, people‑driven, future‑ready culture where agility, innovation, and collaboration shape how we work every day. When you join VHB, you’ll find: Meaningful work on complex projects with real community impact A collaborative, inclusive culture that values curiosity and shared success Support to grow your skills and lead through change Learning and development supported by evolving tools and technologies, including AI Best-in-class benefits and a flexible, hybrid work environment We’re growing across the East Coast and are consistently recognized as a great place to work. Ready to shape what’s next? Learn more about what sets our employee experience apart and connect with us. VHB is a proud Equal Opportunity Employer. Since our founding, we have intentionally fostered a culture of inclusion and belonging, supported by deep-rooted core values, one of which is diversity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or other characteristics protected by law.

Requirements

Strong understanding of database concepts, data modeling, and normalization principles
Proficiency in SQL and familiarity with relational and non-relational databases
Knowledge of data governance frameworks and data quality management
Ability to understand complex business requirements
Excellent communication skills to convey technical concepts to non-technical audiences
Strong attention to detail with a focus on data quality and integrity
Working knowledge of Python and C# programming
Familiarity with ETL/ELT pipelines using Azure Data Factory, Azure Synapse Pipelines, or similar orchestration tools
Experience with SQL Server and related suite of technologies (SSIS, SSAS, SSRS), and T-SQL development is preferred
Hands-on experience with cloud data platforms such as AWS or Azure is a plus
Bachelor’s degree in computer science, Information Systems, Data Science, Engineering, or a related field, or equivalent practical experience.
0-2 years of experience with relational databases

Responsibilities

Assist in designing logical and physical data models that support business requirements and analytical needs.
Help document data architecture standards, patterns, and best practices across the organization.
Support the evaluation of new data technologies and tools to enhance our data infrastructure and collaborate with data engineers to ensure architectural designs are properly implemented.
Design and implement database designs for relational databases.
Participate in data governance initiatives, including metadata management and data lineage documentation, while contributing to the development of data integration strategies across multiple systems and platform.
Work with business analysts and stakeholders to understand data requirements and translate them into technical specifications.