Job Title

RGP is seeking a highly skilled and experienced Microsoft Fabric Data Engineer to join our Data and Analytics team. The ideal candidate will have deep knowledge of modern cloud-based data structures and hands-on experience within Microsoft Fabric. You will help design, build, and optimize scalable data solutions across the Fabric/Azure ecosystem – including bronze ingestion, silver and gold transformation layers, Lakehouse design, and support for Power Bi and AI enablement – as we transition from an on-premises SQL Environment to Microsoft FabricKey ResponsibilitiesArchitect and develop data ingestion from APIs, SaaS platforms, on-premises systems, and other sources using Fabric Pipelines & Notebooks/PySpark with reusable data transformation frameworks for our ETL/ELT processes.Build and optimize Lakehouses, Delta tables, and Power BI semantic models to support enterprise analytics and reporting.Monitor and fine-tune performance, storage layout, and capacity usage for cost efficiency, scalability, and reliability.Implement data quality frameworks, validation rules, automated testing and enhancements to CI/CD, Git, and DevOps processes.Contribute to data governance, lineage, cataloging, and metadata management initiatives.Collaborate with analysts, data scientists, and business teams to deliver analytics-ready datasets and models.Mentor junior engineers and help define best practices in data engineering and architecture.Provide ongoing development and support for the legacy on-premises SQL/SSIS/SSAS/SSRS environment during this transition and decommissioning.Required QualificationsBachelor’s or Master’s degree in computer science, Engineering, or a related field.5+ years of experience in data engineering or a similar role.Expert-level proficiency in SQL, data transformations, and performance tuning.Strong experience with Python, PySpark, or Spark-based distributed processing technologies.Proven expertise with Microsoft Fabric, Azure Data Factory, Synapse and/or Azure Data Services.Strong understanding of ETL/ELT architecture across diverse data sources and consolidations.Experience with CI/CD, DevOps practices, Git and automated testing frameworks.Experience with modern data visualization tools.Strong problem-solving skills within a scalable data solution.Preferred QualificationsAdvanced experience with Power BI modeling, DAX, and enterprise semantic models.Previous experience integrating data from Workday, Salesforce, on-premise SQL, and other enterprise systems.Certifications such as Azure DP-203, Fabric certifications, or related cloud/data credentials.Familiarity with Microsoft Purview or other Fabric governance capabilities.Ensure compliance with regulatory, privacy, and retention requirementsManaging overall data security including row-levelExperience with real-time analytics (Event Stream, KQL databases, streaming ingestion).