Enterprise Data Lake Development and Secure Cloud Integration for Economic, Demographic, and Decennial Programs
Past New Requirement Updated
- Agency
-
US Census Bureau
Department of Commerce
- Solicitation expected
- Estimated value
- $2,100,000 to $5,000,000
- Set-aside
- Total Small Business
Forecast facts
- Anticipated award
- Through
- NAICS code
- 541512 Computer Systems Design Services
- Place of performance
- Suitland-Silver Hill, Maryland, United States
- Forecast number
- 60582
- Points of contact
-
- Sean Morse sean.a.morse@census.gov
Forecast details come from the Commerce Department's procurement forecast. Agencies' dates and values are estimates.
About this forecast
The US Census Bureau is seeking a contractor to design, develop, and deploy an Enterprise Data Lake (EDL) platform using AWS-native services, aimed at replacing existing siloed, on-premise systems and supporting data consolidation across mission-critical statistical programs. The project is a total small business set-aside with an estimated solicitation release date of November 15, 2025, and an anticipated award date of February 15, 2026. The contract will focus on creating a scalable, automated, and secure data integration solution for economic, demographic, and decennial programs.
The estimated award value ranges from $2.1 million to $5 million, with the work to be performed in Suitland-Silver Hill, Maryland. The contract falls under the Computer Systems Design Services NAICS code 541512, and the primary point of contact is Sean Morse, who can be reached at sean.a.morse@census.gov. The anticipated contract is a definitive/awarded contract with a sole source competition strategy, and it involves information technology infrastructure development for the Census Bureau's Deputy Director's office.
Forecast text
This contract provides for the design, development, and deployment of a scalable, automated, and secure Enterprise Data Lake (EDL) platform built entirely on AWS-native services. The EDL will replace siloed, on-premise systems and support data consolidation, curation, and transformation across all mission-critical statistical programs.
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