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We are looking for an experienced Azure & Purview Data Engineer to join a project for a US-based client . The ideal candidate will have a strong background in Azure data engineering and hands-on experience building scalable data pipelines while integrating data governance and compliance practices through Microsoft Purview. Responsibilities Design, build, and maintain robust data pipelines across the Microsoft Azure ecosystem. Develop and manage pipelines using Azure Data Factory and/or Microsoft Fabric . Build and maintain data processing workflows using Azure Databricks and/or Azure Synapse Analytics notebooks . Design and implement Delta Lake and Medallion Architecture layers within Azure Data Lake Storage (ADLS) . Ingest and integrate data from multiple sources, including databases, files, and APIs . Implement secure, automated, and monitored data pipeline deployments, ensuring reliability and scalability. Implement and operate Microsoft Purview as part of the data platform and governance strategy. Register and scan data sources in Microsoft Purview. Configure and maintain data classifications and sensitivity labels . Curate and maintain the data glossary, catalog, and lineage . Integrate governance, compliance, and access policies into data pipelines to ensure cataloging and compliance remain current as new data is ingested. Collaborate with technical and business stakeholders to ensure data solutions meet governance, security, and business requirements. Requirements 4+ years of professional experience in Data Engineering or similar positions. Strong hands-on experience with Microsoft Azure data services . Experience with Azure Data Factory and/or Microsoft Fabric pipelines . Experience with Azure Databricks and/or Azure Synapse Analytics . Solid knowledge of Delta Lake and Medallion Architecture . Experience working with Azure Data Lake Storage (ADLS) . Hands-on experience with Microsoft Purview , including source registration, scanning, classification, sensitivity labeling, glossary management, and data lineage. Experience integrating data from databases, files, and APIs . Understanding of data governance, security, access control, and compliance best practices. Experience implementing automated and monitored data pipeline deployments . Strong troubleshooting and problem-solving skills. English proficiency is required , as the role involves working directly with a US-based client .