ExpiredServicesAmended (4x)

Databricks Professional Services

Services professionnels de Databricks

Description

CDIC seeks to procure professional services from a single Supplier to architect, plan, implement, test, and deliver the two use cases outlined in this RFP on the existing Azure Databricks platform within CDIC’s Azure environment. The term of any resulting agreement will be for an Initial Term of one (1) year with up to three (3) consecutive optional periods of one (1) year, which if exercised, may be exercised individually or multiple at a time, at CDIC’s sole discretion. The Supplier will work collaboratively with CDIC’s development team to design and build the solution, ensuring alignment with established governance, security, and networking standards. Through this engagement, the Supplier will also enable knowledge transfer by equipping CDIC’s technical staff with the skills, design patterns, and best practices required to independently develop and support future Azure Databricks use cases across the organization. The engagement aims to deliver a modern, cloud-first data architecture that enhances operational resiliency, supports standardized data governance and cataloging, and provides flexibility to adapt to other initiatives within CDIC including Data Collection Modernization (“DCM”) described below. The design must meet evolving business needs by improving analytics, risk assessments, and modelling capabilities while promoting internal team capability and self-sufficiency. The Supplier must ensure that the design and deployment incorporate ongoing cost optimization practices, including cluster management, workload optimization, resource allocation, monitoring, governance, and architecture that allows for the future integration of other Microsoft data ecosystem components such as Microsoft Fabric. The objectives must meet two (2) functional, production use cases (hereafter referred to as the “Services”). The two (2) cases that anchor this initiative are: 1- Data Warehouse Modernization; and 2 - Migration of Python/R-based Workloads. For additional information, please refer to Schedule "A" (Statement of Work) of this Request for Proposals (RFP). Addendum #1. Addendum #2.

Quick Summary

The Canada Deposit Insurance Corporation (CDIC) is seeking professional services to design, implement, and deliver two use cases on their existing Azure Databricks platform. The selected supplier will collaborate with CDIC’s development team to ensure compliance with governance and security standards while transferring knowledge to CDIC’s technical staff. The contract is for one year with up to three optional one-year extensions.

Ideal For

Companies specializing in cloud-based data architecture and Azure Databricks implementation with experience in knowledge transfer and collaborative development should bid.

cloud servicesdata architectureAzure Databricksprofessional IT servicesdata governanceknowledge transfer
High complexity

Tender Details

Reference Number
cb-355-38336458
Solicitation Number
RFP 2025-4714
Publication Date
Dec 17, 2025
Closing Date
Jan 30, 2026
Expected Start
May 6, 2026
Expected End
May 5, 2027
Procurement Method
Competitive - Open bidding
Selection Criteria
Variations or combinations of the above methods
Notice Type
Request for Proposal

Classification

UNSPSC Code
81111704; 81111806; 81111901; 81111902; 81112002; 81112205; 81162004
UNSPSC Description
Database design; Database analysis service; Database information retrieval; Online database information retrieval service; Data processing or preparation services; Database management system software maintenance; Database management as a service

Trade Agreements

Canada-European Union Comprehensive Economic and Trade Agreement (CETA); Canada-UK Trade Continuity Agreement (Canada-UK TCA); Canadian Free Trade Agreement (CFTA)

Contracting Entity

Canada Deposit Insurance Corporation (CDIC)

50 O'Connor St. 17th floor,

Ottawa, Ontario

Contact

Roxanne Seguin

procurement@cdic.ca

613850-8893

Regions of Delivery

National Capital Region (NCR); Toronto