Chief Software Engineering Architect
- Employment type
- Full-time · On-site
- Posted
- September 14, 2026
- NOC code
- 21231 — Software engineers and designers
- Province
- Ontario (ON)More in Ontario
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 role is based in Ontario. The Canadian NOC code for this position is 21231 — Software engineers and designers. DataStealth.io 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 Software Engineer in Ontario
Median $120,000 per year, with most postings between $120,000 and $120,000 (Architects, 2026-05, 23 postings). This posting does not state a salary.
NOC code
21231 — 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
A degree in computer science, software engineering or a related field, or equivalent experience, plus demonstrated work in one or more production languages and frameworks.
Licensing: No licence is needed to write software, but the title "engineer" is protected by the provincial engineering regulators; some employers post the same role as "software developer" for that reason.
Fit check
Is this role right for you?
Top skills this posting asks for:
- Software Architecture
- System Design
- Data Security
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.
Scan your resume to see your fitKeep looking
Similar jobs
What you'll do
- Design and oversee the architecture of the unified data security platform
- Lead technical strategy for data discovery, classification, and protection
- Ensure seamless integration across on-premise, legacy, and cloud environments
- Drive implementation of AI-based security technologies
- Lead and mentor engineering teams
- Define technical standards and best practices for data protection
- Oversee platform scalability and performance optimization
What you'll need
- Extensive experience in software architecture and system design
- Deep expertise in data security and protection technologies
- Knowledge of cloud platforms and on-premise infrastructure
- Experience with AI/ML technologies
- Proven track record leading large-scale engineering initiatives
- Understanding of data discovery and classification systems