We are looking for an experienced Senior Data Architect / Modeller to help shape enterprise data architecture and build scalable, AI-ready data solutions. The ideal candidate will bring strong expertise in enterprise data modelling, modern cloud data platforms, and data architecture supporting AI/ML, Generative AI, and advanced analytics.

Key Responsibilities
• Design and maintain enterprise data architectures and conceptual, logical, and physical data models.
• Define scalable data integration, storage, transformation, and sharing patterns.
• Develop reusable data products and common data models to support enterprise and AI use cases.
• Establish data architecture, modelling, interoperability, and integration standards.
• Partner with Data Governance teams to embed data quality, ownership, metadata, lineage, security, and privacy requirements.
• Support architecture initiatives involving AI/ML, Generative AI, RAG, and advanced analytics.
• Collaborate with business, Data & AI, architecture, and engineering teams to deliver scalable data solutions. Must-Have





Qualifications:
• Significant experience in enterprise data architecture and conceptual, logical, and physical data modelling.
• Hands-on architectural experience supporting AI/ML, Generative AI, analytics, and cloud workloads.
• Understanding of data requirements for model training, inference, RAG, feature engineering, and AI/ML pipelines.
• Strong expertise in up-to-date cloud data platforms, data engineering, APIs, integration, metadata, lineage, and data quality.
• Strong knowledge of the Azure data and AI ecosystem, including Azure Machine Learning and Microsoft Foundry / Azure AI Foundry.
• Solid understanding of data governance, data ownership, security, privacy, and information lifecycle management. Tracker#
- 37789 Note: We use AI tools to: obtain basic information, detect plagiarism, false employment history or references, categorize your skills, and do an initial match with job posting.

📌 Senior Data Architect (Toronto)
🏢 Infotek Consulting
📍 Toronto