Senior Data Architect

* Contract * Hybrid (Toronto, Ontario) * Posted on November 4, 2026 **Tri-global Solutions Group Inc.** **SENIOR DATA ARCHITECT (Data Modelling & Azure AI; Enterprise AI & Data Centre of Excellence)** **Requisition #:** R26-3627 (RQ00239) **Location:** Hybrid (3 days onsite / 2 days WFH; Toronto, ON – \*See Work Model) **Engagement Type:** Contract **Number of Resources required:** 1 **Term:** 2026-11-23 to 2027-05-23 (130 days) with possible extension **Rate (CAD):** Up to $102.00 per hour / Commensurate with related experience and market competitiveness **Hours per day:** 7.25 **Security Screening:** Standard (Criminal Record Check) ———————————————————————— Tri-global Solutions Group Inc. is seeking one (1) Senior Data Architect/Modeller to join our talented Service Delivery team within Metrolinx. ***WORK MODEL:*** *The successful contractor will be working hybrid with 3 days in office at 277 Front Street West, Toronto, Ontario and 2 days remote/work from home per week.* Please review the project overview, description of services, and requirements below. If you meet the requirements and are interested in submitting for this role, please reply to this job posting. If you know other consultants who may be interested in this opportunity kindly share this job posting. Thank you. Tri-global Solutions Group Inc. Website: https://tri-global.com ———————————————————————— **PROJECT OVERVIEW** The Senior Data Architect/Modeller will design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products. The role will help establish the future-state data architecture, identify critical data assets, and define standards and integration patterns that enable data to be governed, reusable, accessible, and AI-ready. **DESCRIPTION OF SERVICES** Key Responsibilities: * Design and maintain enterprise data architecture and conceptual, logical, and physical data models supporting AI, analytics, and operational use cases. * Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data. * Design reusable data products and common data models that can support multiple business and AI use cases. * Contribute to the organization’s future-state data architecture, including transition from existing platforms and architectures. * Identify and define critical data assets and domains required to support enterprise priorities. * Establish and promote enterprise data architecture, modelling, interoperability, and integration standards. * Partner with Data Governance teams to embed data ownership, quality, metadata, lineage, classification, and lifecycle requirements into architecture and data products. * Assess data requirements and architecture implications for AI, Generative AI, machine learning, advanced analytics, and reporting initiatives. * Work with business, Data & AI, architecture, engineering, and technology teams to translate business r