- Employment type
- Full-time · On-site
- Posted
- September 28, 2026
- NOC code
- 21232 — Software developers and programmers
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 11/100
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 role is based in Ontario. The Canadian NOC code for this position is 21232 — Software developers and programmers. Insight Enterprises, 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 Data Architect 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
21232 — Software developers and programmers. The National Occupational Classification code is what Express Entry, provincial nominee programs and Job Bank use to identify this occupation.
Typical qualifications for Canadian employers
- Significant experience in data architecture
- AI/Machine Learning knowledge
- Experience with enterprise-scale data systems
- Cloud platform expertise
- Data governance and compliance knowledge
Fit check
Is this role right for you?
Top skills this posting asks for:
- Data Architecture
- AI/Machine Learning
- Data Modeling
Jobily reads your resume against this posting and scores the fit — the skills you already have, the gaps, and what to change before applying. Signed-in Premium members see the score at the top of this page.
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What you'll do
- Design and implement data architecture solutions
- Develop AI-focused data strategies
- Create scalable data pipelines and models
- Lead data governance initiatives
- Collaborate with cross-functional teams
- Optimize data systems for performance and reliability
- Support enterprise data infrastructure
What you'll need
- Significant experience in data architecture
- AI/Machine Learning knowledge
- Experience with enterprise-scale data systems
- Cloud platform expertise
- Data governance and compliance knowledge
- Strong technical leadership skills