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Sr. Data Architect
RGP is seeking a highly skilled and experienced Microsoft Fabric Senior Data Architect 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 Fabric
Key Responsibilities
Architect and develop data ingestion from APIs, Saa S platforms, on-premises systems, and other sources using Fabric Pipelines & Notebooks/Py Spark 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 Dev Ops 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 Qualifications
Bachelor’s or Master’s degree in computer science, Engineering, or a related field.
10+ years of experience in data engineering or a similar role.
Expert-level proficiency in SQL, data transformations, and performance tuning.
Extensive experience with Python, Py Spark, 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, Dev Ops practices, Git and automated testing frameworks and their setup with data warehouse environments.
Experience with modern data visualization tools.
Solid problem-solving skills within a scalable data solution.
Preferred Qualifications
Advanced 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 DP-700, Fabric certifications, or related cloud/data credentials.
Familiarity with Microsoft Purview or other Fabric governance capabilities.
Ensure compliance with regulatory, privacy, and retention requirements
Managing overall data security including row-level
Experience with real-time analytics (Event Stream, KQL databases, streaming ingestion).

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