Technical Architect
Hybrid · Toronto, Ontario, Canada
Job Summary
Technical Architect to lead data, analytics, and AI-driven technology transformation within the IT Enterprise Architecture program. Responsible for developing multi-year Data, Analytics, and AI roadmaps, standardizing standards across entities, defining data management and AI enablement capabilities, and guiding cloud-based, AI-enabled initiatives. Acts as an evangelist for enterprise architecture standards including data governance, data intake and ingestion, data modeling, and AI lifecycle management. Collaborates with Business Solutions, Technology Architects, and Enterprise Data Architects to map capabilities to platforms, identify risks and gaps, and drive cost reduction through standardization. Requires strong experience with cloud platforms (Azure, AWS, Databricks), enterprise data concepts, data governance, AI/ML concepts, MLOps, and excellent communication skills. Based in Canada with a hybrid work model (Toronto office) and a focus on modernization and innovation in data platforms and AI strategies.
Required Qualifications
- Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Mathematics, or Business (or equivalent)
- 4+ years of experience in Enterprise Architecture or Technical Architecture.
- Strong experience with cloud platforms and services (Azure, AWS, Databricks).
- Hands-on experience with enterprise data concepts (Data Intake/Ingestion, Data Warehousing, Data Lakes/Lakehouse, ETL/ELT, reporting).
- Experience with data governance, data quality, security, audit, and controls.
- Exposure to AI/ML concepts, model development, deployment, monitoring, and MLOps.
- Strong communication skills and ability to collaborate across teams.
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