Microsoft Fabric & Azure Data Platform Developer(ID: 4078)

As a Microsoft Fabric & Azure Data Platform Developer, you will: Design and develop enterprise data platforms using Microsoft Fabric and Azure data services. Define architecture across OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models. Design and implement Medallion Architecture for enterprise data ingestion, transformation, modelling, and consumption. Develop and optimize data solutions using PySpark, Python, SQL, Spark SQL, and Azure Data Factory. Design Power BI architecture and semantic models, including standardized KPI definitions and reporting governance. Define enterprise data modelling, integration patterns, APIs, and data platform modernization strategies. Establish and support data governance, ownership, stewardship, security, privacy, GDPR, and compliance controls. Implement practices for data quality, data lineage, metadata management, and master/reference data management. Support Azure DevOps, Git, CI/CD, release management, and deployment automation. Optimize data-platform performance through workload management, scalability, performance tuning, and capacity planning. Work closely with stakeholders to understand business and technical requirements and translate them into scalable data-platform solutions. Produce clear architecture documentation and contribute to technical decision-making. What You Bring to the Table: 4–6 years of overall professional experience in data engineering, data platform development, data architecture, or a closely related field. Strong architecture experience with Microsoft Fabric and enterprise Azure data platforms. Hands-on expertise with Microsoft Fabric, OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows Gen2, Notebooks, and Semantic Models. Strong understanding of Medallion Architecture and enterprise data ingestion, transformation, modelling, and consumption patterns. Hands-on experience with PySpark, Python, SQL, Spark SQL, and Azure Data Factory. Experience with Power BI architecture, semantic modelling, KPI standardization, and reporting governance. Strong knowledge of enterprise data modelling, integration patterns, APIs, and data-platform modernization. Experience with data governance, data ownership, stewardship, security, privacy, GDPR, and compliance. Understanding of data quality, lineage, metadata management, and master/reference data concepts. Experience with Azure DevOps, Git, CI/CD, release management, and deployment automation. You should possess the ability to: Design scalable and maintainable Microsoft Fabric and Azure data architectures. Translate business and technical requirements into effective data-platform architecture and implementation approaches. Design robust data ingestion, transformation, modelling, and consumption pipelines. Apply Medallion Architecture effectively across enterprise data solutions. Develop and optimize data processing solutions using PySpark, Python, SQL, and Spark SQL. Design effective Power BI…