Design enterprise data architecture and models for scalable analytics, AI, and data products. Shape governed, reusable, accessible, AI-ready information foundations. As a Senior Data Architect/Modeller, you will establish future-state architecture and develop conceptual, logical, and physical data models. You will define integration patterns, identify critical data assets, and create reusable data products. The work supports business, operational, analytics, and AI use cases.

Key Responsibilities
- Design and maintain enterprise data architecture and data models
- Define patterns for integrating, storing, transforming, and sharing data
- Develop reusable data products and common data models
- Identify critical data assets and enterprise data domains




- Translate business requirements into scalable data solutions

Requirements:
- Experience with conceptual, logical, and physical data modelling
- Knowledge of data integration, interoperability, and architecture standards
- Understanding of data ownership, quality, metadata, and lineage
- Ability to assess AI, machine learning, and analytics requirements
- Ability to identify data silos, duplication, and architecture gaps Apply senior data architecture and modelling expertise to create governed, interoperable foundations for enterprise AI and analytics.

📌 Senior Enterprise Data Architect (Toronto)
🏢 Pathlion
📍 Toronto