- Employment type
- Full-time · On-site
- Posted
- November 1, 2026
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 7/100
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. Manulife 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 Senior 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
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
- Extensive experience in data architecture design
- Proven leadership in data strategy and modernization
- Knowledge of cloud platforms and distributed systems
- Understanding of data governance and security frameworks
- Experience with machine learning and AI implementations
Fit check
Is this role right for you?
Top skills this posting asks for:
- Data Architecture
- Cloud Platforms
- Data Governance
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What you'll do
- Define and lead segment data architecture strategy
- Enable trusted, scalable, and secure data capabilities
- Provide architectural leadership for data solutions and platforms
- Oversee data governance and modernization initiatives
- Support analytics, reporting, and machine learning solutions
- Design AI-ready data infrastructure
- Engage in hands-on solution design
- Implement data platforms across the organization
What you'll need
- Extensive experience in data architecture design
- Proven leadership in data strategy and modernization
- Knowledge of cloud platforms and distributed systems
- Understanding of data governance and security frameworks
- Experience with machine learning and AI implementations
- Strong technical background in data engineering
- Hands-on solution design capabilities