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RQ00239 – Senior Data Architect/Modeller

Toronto, Ontario
On-site
Full-time
No salary posted3 days ago
Employment type
Full-time · On-site
Posted
November 10, 2026
Province
Ontario (ON)

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

This is only part of this posting — the job board it came from publishes a short summary. Read the full posting.
Client: Metrolinx – RQ00239 We are seeking an experienced Senior Data Architect/Modeller with significant expertise in enterprise data architecture, conceptual, logical, and physical data modelling, cloud data platforms, data engineering, and AI/ML solutions. The ideal candidate will have strong knowledge of modern Azure data and AI technologies, including Azure Machine Learning and Microsoft Foundry/Azure AI Foundry, along with expertise in data governance, metadata, data lineage, integration,…

This role is based in Ontario. S M Software Solutions Inc is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for RQ00239 – Senior Data Architect/Modeller in Ontario

Median $120,000 per year, with most postings between $116,325 and $135,000 (Architects, 2026-08, 23 postings). This posting does not state a salary.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

  • Significant expertise in enterprise data architecture
  • Strong knowledge of modern Azure data and AI technologies
  • Experience with Azure Machine Learning
  • Experience with Microsoft Foundry/Azure AI Foundry
  • Expertise in data governance

Fit check

Is this role right for you?

Top skills this posting asks for:

  • Enterprise Data Architecture
  • Data Modelling (Conceptual, Logical, Physical)
  • Cloud Data Platforms

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What you'll do

  • Design and implement enterprise data architecture solutions
  • Develop conceptual, logical, and physical data models
  • Work with cloud data platforms
  • Implement data engineering solutions
  • Develop AI/ML solutions

What you'll need

  • Significant expertise in enterprise data architecture
  • Strong knowledge of modern Azure data and AI technologies
  • Experience with Azure Machine Learning
  • Experience with Microsoft Foundry/Azure AI Foundry
  • Expertise in data governance
  • Expertise in metadata management
  • Expertise in data lineage
  • Expertise in data integration

About the Company

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S M Software Solutions Inc