Senior Data Architect/Modeller will design and evolve enterprise data architecture and data models to enable scalable analytics, AI, and data products. The role will help establish the future-state data architecture, identify critical data assets, and define standards and integration patterns that enable data to be governed, reusable, accessible, and AI-ready.enterprise data architecture and conceptual, logical, and physical data models supporting AI, analytics, and operational use cases.Define scalable architecture patterns for the integration, storage, transformation, sharing, and consumption of enterprise data.reusable data products and common data models that can support multiple business and AI use cases.future-state data architecture, including transition from existing platforms and architectures.critical data assets and domains enterprise data architecture,



modelling, interoperability, and integration standards .Partner with Data Governance teams to embed data ownership, quality, metadata, lineage, classification, and lifecycle requirements into architecture and data products.Assess data requirements and architecture implications for AI, Generative AI, machine learning, advanced analytics, and reporting initiatives.Work with business, Data & AI, architecture, engineering, and technology teams to translate business requirements into scalable data solutions.Identify architecture gaps, duplication, data silos, and opportunities to improve data reuse and interoperability across the enterprise. #

📌 Senior Data Engineer (Machine Learning) (Winnipeg)
🏢 P@thlion Staffing Careers
📍 Winnipeg