Microsoft Fabric - AI & Data Architect
Data Architecture & Engineering Architect and implement end-to-end data pipelines using Microsoft Fabric workloads: Data Factory, Lakehouse, Warehouse, and Real-Time Intelligence Design and optimize semantic models and data marts for Power BI and AI consumption Integrate structured and unstructured data sources into OneLake using Delta format and shortcuts Lead the unification of transactional and analytical data using Fabric SQL DB Build and deploy conversational data agents using Fabric Copilot and Azure AI Foundry Enable generative AI experiences by integrating data agents into custom applications and Microsoft Teams Collaborate with business units to identify AI use cases and translate them into scalable solutions Establish CI/CD pipelines for Fabric workloads and automate deployment workflows Guide tenant configuration, capacity planning, and workspace strategy in alignment with Microsoft's Cloud Adoption Framework Partner with enterprise architects, data scientists, and business stakeholders to align architecture with strategic goals Mentor data engineers and analysts on Fabric best practices, PySpark, and AI integration Contribute to enterprise data strategy, including ERP modernization, analytics platform consolidation, and AI transformation 10+ years in data architecture or engineering roles, with 2+ years in Microsoft Fabric or equivalent platforms Proficiency in PySpark, SQL, and T-SQL; experience with notebooks and real-time analytics Deep understanding of lakehouse architecture, medallion design, and semantic modeling Experience with Azure Data Factory, Synapse, Power BI, and Azure AI services Strong grasp of data governance, security, and compliance frameworks Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Azure Solutions Architect Expert (AZ-305)
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Microsoft Fabric - AI & Data Architect
Data Architecture & Engineering Architect and implement end-to-end data pipelines using Microsoft Fabric workloads: Data Factory, Lakehouse, Warehouse, and Real-Time Intelligence Design and optimize semantic models and data marts for Power BI and AI consumption Integrate structured and unstructured data sources into OneLake using Delta format and shortcuts Lead the unification of transactional and analytical data using Fabric SQL DB Build and deploy conversational data agents using Fabric Copilot and Azure AI Foundry Enable generative AI experiences by integrating data agents into custom applications and Microsoft Teams Collaborate with business units to identify AI use cases and translate them into scalable solutions Establish CI/CD pipelines for Fabric workloads and automate deployment workflows Guide tenant configuration, capacity planning, and workspace strategy in alignment with Microsoft's Cloud Adoption Framework Partner with enterprise architects, data scientists, and business stakeholders to align architecture with strategic goals Mentor data engineers and analysts on Fabric best practices, PySpark, and AI integration Contribute to enterprise data strategy, including ERP modernization, analytics platform consolidation, and AI transformation 10+ years in data architecture or engineering roles, with 2+ years in Microsoft Fabric or equivalent platforms Proficiency in PySpark, SQL, and T-SQL; experience with notebooks and real-time analytics Deep understanding of lakehouse architecture, medallion design, and semantic modeling Experience with Azure Data Factory, Synapse, Power BI, and Azure AI services Strong grasp of data governance, security, and compliance frameworks Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) Microsoft Certified: Azure Data Engineer Associate (DP-203) Microsoft Certified: Azure Solutions Architect Expert (AZ-305)