Data Based Development Systems is a 37-year-old IT consulting and staffing firm pivoting toward data infrastructure work. Their tech stack reveals a heavy reliance on enterprise data platforms (Databricks, Synapse, AWS, Azure) paired with SQL-heavy database work (Oracle, SQL Server, MySQL, PL/SQL), and they're actively investing in modern data tooling (dbt, Informatica, Immuta). Hiring is concentrated in data roles (4 open positions) over engineering (2), signaling a strategic shift from traditional IT staffing toward managed data services—a natural evolution for a firm already embedded in Fortune 500 infrastructure.
DBDS is a privately-held consulting firm based in Glastonbury, Connecticut, offering IT staffing, managed services, and data solutions to large enterprises. The firm combines contract-based staff augmentation (short- and long-term placements) with in-house service delivery covering systems integration, cloud enablement, disaster recovery, and data security. Their technical portfolio spans application development, business intelligence, and data engineering, with deep expertise in Oracle and Microsoft technologies. Current project focus centers on data warehousing, ETL pipeline development, data governance frameworks, and legacy system migration—reflecting a transition from pure staffing into higher-margin managed services.
DBDS operates across enterprise data and cloud platforms: Databricks, Azure Synapse, AWS, Azure; databases including Oracle, SQL Server, MySQL; data tools like dbt, Informatica, and Immuta; plus application development in Python, Node.js, C/C++, and iOS (Swift/SwiftUI).
Core projects include data warehousing environment design, ETL and data ingestion pipelines, database object design, data governance frameworks, and legacy system migration to data lakes. Secondary focus areas: compliance management, data privacy assessments, and data access governance implementation.
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Data Based Development Systems's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.