Azure Solutions Architect (Microsoft Fabric)
New
J
JobgetherIT & Data
United StatesContractSenior
Salary not disclosed
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Job Details
- Experience
- 10+ years of experience in Data Architecture and/or Data Engineering; 5+ years of experience working with Microsoft Azure; 2+ years of hands-on experience specifically with Microsoft Fabric
- Required Skills
- ETLMicrosoft AzureMicrosoft Power BIData engineeringGenerative AI
Requirements
- 10+ years of experience in Data Architecture and/or Data Engineering.
- 5+ years of experience working with Microsoft Azure.
- 2+ years of hands-on experience specifically with Microsoft Fabric.
- Strong knowledge of Microsoft Fabric workloads, including OneLake, Lakehouse, Warehouse, Data Pipelines, and Dataflows Gen2.
- Experience designing and implementing Medallion Architecture and scalable ETL/ELT solutions.
- Experience with Microsoft Purview, data governance, lineage, access management, and compliance.
- Experience with Power BI, semantic modeling, and Direct Lake.
- Knowledge of Generative AI and RAG architecture patterns, particularly in relation to enterprise data platforms.
- Experience with Real-Time Intelligence and Data Activator is preferred.
- Familiarity with the Azure Well-Architected Framework is preferred.
- Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related technical field.
Responsibilities
- Architect end-to-end data solutions using Microsoft Fabric workloads, including OneLake, Lakehouse, and Warehouse.
- Design and implement scalable ETL/ELT pipelines using Fabric Data Pipelines and Dataflows Gen2.
- Establish Medallion Architecture patterns across Bronze, Silver, and Gold data layers.
- Define and enforce data governance standards using Microsoft Purview, including data lineage, access controls, and regulatory compliance.
- Monitor and optimize Fabric Capacity SKUs to improve processing performance and cost efficiency.
- Design high-performance Power BI semantic models and visualizations using Direct Lake mode.
- Develop metadata patterns and architectural structures that support Generative AI and Retrieval-Augmented Generation (RAG) workloads.
- Contribute to advanced Fabric capabilities such as Real-Time Intelligence and Data Activator.
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