Data Engineer Azure Cloud & Enterprise Data Solutions

About the role

We are hiring a Senior Azure Data Engineer to support analytics and modernization projects for a major Client. This role requires deep expertise in Azure data services, strong hands-on skills in ETL/ELT pipeline development, and a solid background in data governance.

Responsibilities

• Design, build, and maintain data pipelines using Azure Data Factory, Azure Databricks, and Synapse Analytics
• Develop scalable ETL/ELT workflows with Python, SQL, and Apache Spark
• Implement robust data models aligned to enterprise architecture standards
• Engineer analytics and data integration pipelines in cloud/hybrid environments
• Support data governance efforts including metadata management, data lineage, and cataloging
• Drive data quality and compliance across regulated domains (healthcare, finance, or federal environments)
• Collaborate in Agile teams and contribute to CI/CD pipelines via Azure DevOps

Requirements

• 10+ years of experience in data engineering, including 5+ years on Azure
• Proven expertise in: Azure Data Factory, Databricks, Azure Synapse, Apache Spark, SQL, and Python
• Strong background in building cloud-native data solutions and modeling complex data sets
• Experience in regulated or federal data environments
• Bachelor's degree in Computer Science, Engineering, or related field (Master's preferred)
• Excellent communication and stakeholder management skills

Qualifications

• Familiarity with Azure DevOps and CI/CD automation
• Experience authoring secure, scalable ETL workflows in compliance-focused environments
• Strong knowledge of data cataloging, lineage tracking, and data governance best practices
• Passion for documentation, standards, and continuous improvement