Senior Director, Data Architecture & Engineering
- Employment type
- Full-time · On-site
- Posted
- November 8, 2026
- NOC code
- 21311 — Computer engineers (except software engineers and designers)
- Province
- Ontario (ON)
Hiring confidence: Sparse posting · 33/100
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 21311 — Computer engineers (except software engineers and designers). Royal Bank of Canada 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 Director, Data Architecture & Engineering 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
21311 — Computer engineers (except software engineers and designers). 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
- Extensive experience in data architecture design
- Proven leadership in data engineering teams
- Knowledge of AI/agent-based systems
- Understanding of data governance frameworks
- Experience with enterprise-scale data platforms
Fit check
Is this role right for you?
Top skills this posting asks for:
- Data Architecture
- Data Engineering
- Data Governance
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What you'll do
- Simplify and unify RBC's data architecture across the full lifecycle
- Own the target data architecture and establish standards
- Make data machine-readable for AI agents
- Operate the architecture function with agents as core component
- Reduce data stores and point-to-point feeds
- Establish one trusted source for critical data
- Oversee data manufacturing, distribution, discovery, and consumption
What you'll need
- Extensive experience in data architecture design
- Proven leadership in data engineering teams
- Knowledge of AI/agent-based systems
- Understanding of data governance frameworks
- Experience with enterprise-scale data platforms
- Strategic planning and organizational skills