Senior Enterprise Data Architect

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 modelsDefine patterns for integrating, storing, transforming, and sharing dataDevelop reusable data products and common data modelsIdentify critical data assets and enterprise data domainsTranslate business requirements into scalable data solutionsRequirements:
Experience with conceptual, logical, and physical data modellingKnowledge of data integration, interoperability, and architecture standardsUnderstanding of data ownership, quality, metadata, and lineageAbility to assess AI, machine learning, and analytics requirementsAbility to identify data silos, duplication, and architecture gapsApply senior data architecture and modelling expertise to create governed, interoperable foundations for enterprise AI and analytics.
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