Data Architect Sr. Advisor

Role: Fabric Architect Total Experience: 12+ years Relevant Experience: 8+ years Role Overview The Lead Fabric Architect will own the end-to-end technical architecture and design assurance for the Microsoft Fabric platform. The role will define high-level and low-level designs, establish platform guardrails, guide capacity and workspace design, and ensure the solution is secure, scalable, supportable and aligned with enterprise architecture standards. Key Responsibilities Own the solution architecture, including High-Level Design (HLD), Low-Level Design (LLD), architecture decisions and technical design documentation. Define Microsoft Fabric platform architecture, workspace topology, capacity planning, environment strategy and workload allocation. Establish architectural guardrails covering security, identity, networking, governance, naming conventions and resource management. Define architecture patterns for Lakehouse, Warehouse, OneLake, shortcuts, data ingestion, transformation and consumption, as applicable to the solution. Guide the implementation of development, test, UAT and production environments and their promotion strategy. Provide technical authority across platform engineering, data engineering, DevOps, analytics and AI workstreams. Review and assure designs for scalability, performance, resilience, maintainability, security and cost optimisation. Define integration patterns with Microsoft 365, SharePoint, Power BI, Power Platform and other required enterprise services. Guide monitoring, observability, operational support, disaster recovery and business continuity design, as applicable. Support technical risk management, design reviews, proof of concepts and resolution of complex architectural issues. Required Skills and Experience 15+ years of overall IT experience, including 10+ years in solution architecture, data platform architecture or cloud engineering. Strong hands-on expertise in Microsoft Fabric architecture and its core capabilities. Experience designing enterprise data platforms using Lakehouse, Warehouse, OneLake, Direct Lake, semantic models and related Fabric services. Strong understanding of Fabric capacity management, workspace architecture, security, access control and environment management. Experience defining HLDs, LLDs, architecture standards, design patterns and technical governance. Strong understanding of Microsoft Entra ID, Azure security, networking, integration and enterprise identity patterns. Knowledge of data governance, data lifecycle management, monitoring, performance optimisation and cost management. Ability to lead technical discussions, challenge design decisions and guide engineering teams. Preferred: Experience in banking or regulated environments, with familiarity with enterprise security, auditability, data protection and technology risk requirements.