Posted 13 days ago
Data Architect/Modeller - Senior, 14 months contract
@ Dimensional Tech Inc.
Toronto, Ontario
Overview
Dimensional Tech Inc. is hiring a senior Data Architect/Modeller for a 14-month onsite contract in Toronto, Ontario. The role centres on designing enterprise, canonical and domain data models that support interoperability and data sharing across business domains.
Responsibilities:
- Develop enterprise, canonical and domain data models
- Establish common business definitions and controlled vocabularies
- Facilitate business and technical workshops
- Develop business glossaries and reference data models
Requirements summary:
- Extensive enterprise and domain data modelling experience
- Deep knowledge of data architecture principles and standards
- Experience with semantic and common data models
- Experience facilitating business and technical workshops
Tools & skills
Source and dates
Source type not verified · crelate
- Employer posting date
- 2026-10-26
- First seen by our source
- 2026-10-26
- Source record updated
- 2026-11-07
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Dimensional Tech Inc.
| Field | Value |
|---|---|
| Open jobs on Jobsy | 163 |
• Location: Toronto, Ontario
• Duration: 2026-09-21 to 2027-10-01 (283 days)
• Job Type: Onsite
• Openings: 1
Requirements:
• Extensive experience developing enterprise, common, canonical and domain data models that support interoperability, information exchange and data sharing across multiple business domains.
• Deep knowledge of data architecture principles, methodologies, standards and best practices.
• Demonstrated experience establishing common business definitions, controlled vocabularies, semantic models and common data models to support interoperability, information sharing and enterprise data governance across multiple business domains.
• Experience facilitating business and technical workshops to define and reconcile business terminology, business entities, relationships and canonical definitions.
• Experience developing business glossaries, reference data models and semantic relationship models.
Journal
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