Our client is seeking a highly skilled and proactive Senior Data Engineer to support the modernization of our data systems and infrastructure. You will play a pivotal role in transitioning from legacy platforms to modern, scalable solutions using Microsoft Fabric, Azure Databricks, and Power BI. This is a hands-on engineering role with opportunities to shape our data architecture and enable enterprise-wide, data-driven decision-making. • • • • • Must be physically located in Metro Atlanta • • • • • On-site attendance: Tuesday to Thursday (subject to management discretion) • • • • • Mandatory in-person meetings: Key Responsibilities • Design, build, and maintain scalable ETL/ELT data pipelines using Microsoft Fabric and Azure Databricks. • Implement medallion architecture (Bronze, Silver, Gold) for efficient data lifecycle and quality. • Lead decommissioning efforts of legacy SQL-based infrastructure and SSRS. • Develop and manage Fabric Notebooks, Databricks Notebooks using Python, SQL, and Spark. • Deliver curated datasets and models to support Power BI reporting and dashboards. • Build dimensional and real-time data models to support business intelligence use cases. • Collaborate with data analysts and business stakeholders to deliver trusted data assets. • Implement data governance (row-level security, data masking, classification) using Microsoft Purview or Unity Catalog. • Use Azure DevOps for monitoring, logging, and CI/CD automation. • Provide support for data migration and cutover activities to minimize downtime. Technical Environment • Microsoft Fabric (Dataflows, Pipelines, Notebooks, OneLake) • Azure Databricks • SQL Server / SQL Managed Instances • Power BI • SSRS (legacy decommissioning only) Required Qualifications • Bachelor’s degree in Computer Science, Information Systems, or related field • 5+ years in data engineering roles, ideally in regulated or public sector environments • Strong experience with SQL, Python, Spark • Proven expertise with Microsoft Fabric, Power BI, and Azure data services • Experience in data modeling, data warehousing, and analytics • Solid understanding of ETL/ELT pipeline design, data lifecycle, and schema design • Familiarity with data governance frameworks and tools like Microsoft Purview or Unity Catalog • Excellent communication and collaboration skills Preferred Qualifications • Microsoft Certified: Fabric Analytics Engineer or Azure Data Engineer Associate • Experience with CI/CD pipelines using Azure DevOps • Knowledge of data security frameworks (FIPS, NIST, etc.) • Experience in modernizing and decommissioning legacy reporting systems Soft Skills • Analytical mindset with strong problem-solving skills • Team-oriented with a collaborative approach • Comfortable in fast-paced and evolving tech environments