Working as a Microsoft Fabric Architect, you will:
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Design and own end-to-end data and analytics architecture based on Microsoft Fabric, ensuring scalability, maintainability, performance, and reliability.
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Lead the architecture and technical design of complex Microsoft Fabric implementations, covering data ingestion, transformation, storage, modelling, and consumption layers.
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Define architectural standards, technology choices, design patterns, and best practices for Microsoft Fabric solutions.
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Design and oversee data architectures based on Fabric Lakehouse and Warehouse, including Medallion Architecture (Bronze, Silver, Gold), data pipelines, Dataflows Gen2, and notebooks.
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Define data modelling strategies, including enterprise-level data models, semantic models, and integration with Power BI.
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Make architectural decisions regarding data integration, orchestration, data quality, security, governance, and access management.
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Identify and address architectural challenges related to performance optimisation, scalability, capacity management, and cost efficiency.
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Ensure seamless integration of multiple data sources, including APIs, databases, files, and SaaS platforms.
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Establish best practices for development lifecycle management, including CI/CD, version control, deployment strategies, and environment management.
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Provide technical leadership and guidance to Data Engineers and BI specialists, ensuring consistency and quality across delivered solutions.
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Collaborate with business stakeholders to understand strategic objectives, translate them into technical architecture, and identify opportunities to improve data capabilities.
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Contribute to the design of AI-driven analytics solutions, including conversational access to data using Fabric Data Agents, Power BI Copilot, and custom LLM-based applications.
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Define approaches to validating AI-generated insights, ensuring data accuracy, reliability, and alignment with business requirements.
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Independently lead technical discussions and present architectural recommendations to clients.