Databricks Blanket Purchase Agreement

Past New Requirement Updated

Agency
Solicitation expected
Estimated value
$100,000,000
Set-aside
No set-aside

Forecast facts

Anticipated award
Through
NAICS code
518210 Computing Infrastructure Providers, Data Processing, Web Hosting, and Related Services
Place of performance
Springfield, VA
Forecast number
F2026073326
Points of contact

Forecast details come from DHS's Acquisition Planning Forecast System. Agencies' dates and values are estimates.

About this forecast

The Department of Homeland Security is establishing a department-wide Databricks Blanket Purchase Agreement to procure and implement Commercial-off-the-Shelf (COTS) unified analytics platforms that support the full data analytics and machine learning lifecycle. The procurement aims to consolidate requirements and streamline procurement processes while fostering an innovative data ecosystem that enhances operational effectiveness and supports rapid adoption of advanced technologies. The solicitation is estimated to release on April 24, 2026, with an anticipated award date of May 14, 2026.

The estimated award value is $100,000,000 with a firm fixed price contract type. The period of performance is expected to run from May 14, 2026, through May 13, 2031, spanning five years. Work will be performed in Springfield, Virginia, and the contract will be executed through the Information Technology Acquisition Center (ITAC) under FAR Part 8 or 13 BPA contract vehicle. The primary point of contact is Colleen O'Connor at the Department of Homeland Security's Office of the Chief Information Officer, reachable at colleen.oconnor@hq.dhs.gov or (202) 794-6255.

Forecast text

DHS is establishing a department-wide Databricks Blanket Purchase Agreement (BPA) to procure and implement Commercial-off-the-Shelf (COTS) unified analytics platforms that support the full data analytics and machine learning lifecycle. By consolidating requirements and streamlining procurement, DHS aims to foster an innovative data ecosystem that enhances operational effectiveness and supports rapid adoption of advanced technologies.

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