Senior Data & Analytics Engineer specializing in Microsoft Fabric (COE) for a full-time, on-site role with a Fortune 100 enterprise in Nashville, TN. This position centers on enabling enterprise-wide adoption of Microsoft Fabric and modern analytics practices, partnering with business units to design scalable data architectures, and migrating legacy analytics to Fabric while shaping Lakehouse architectures, semantic models, and governance.
Summary
The Senior Data & Analytics Engineer focuses on driving Fabric adoption across the organization within a centralized COE, ensuring high standards for performance, reliability, and data quality across the analytics landscape. The role emphasizes collaboration with business units and engineering teams to create scalable assets and migrate legacy environments to Fabric, rather than building isolated dashboards.
Responsibilities
- Operate within a centralized BI and Intelligent Automation COE to champion enterprise wide adoption of Microsoft Fabric and contemporary analytics practices.
- Partner with business units and engineering teams to design scalable data architectures, develop reusable assets, and guide the migration of legacy analytics environments to Fabric.
- Contribute to shaping Lakehouse architectures, semantic models, and governance frameworks while ensuring performance, reliability, and data quality across the analytics ecosystem.
Requirements
- Proven experience in data engineering, data modeling, and modern analytics platforms.
- Hands-on expertise with Microsoft Fabric, including Lakehouse, Data Factory pipelines, Dataflows Gen2, and notebooks.
- Advanced Power BI skills, covering semantic modeling, DAX, performance tuning, and workspace design.
- Strong understanding of ETL/ELT processes, medallion architecture Bronze/Silver/Gold, and SQL-based transformations.
- Experience building scalable data pipelines, reusable data assets, and governed analytics environments.
- Solid troubleshooting capabilities across data pipelines, BI tools, and distributed data systems.
- Proficiency in scripting or automation using Python, PowerShell, or SQL.
- Ability to collaborate with cross-functional teams and communicate effectively with technical and business stakeholders.
- Experience in enterprise COE or platform enablement roles is a strong plus.
- Familiarity with Azure data services, CI/CD practices, and BI platform governance is preferred.
- Education: Bachelor's or Master’s degree in Computer Science, Data Engineering, or a related field.
Technologies
- Microsoft Fabric
- Lakehouse
- Data Factory
- Dataflows Gen2
- Notebooks
- Power BI
- DAX
- SQL
- Python
- PowerShell
- Azure Data Lake Storage (ADLS)
- Azure Synapse Analytics
- Azure SQL
- Medallion architecture (Bronze/Silver/Gold)
Benefits
- 401(k)
- Dental insurance
- Health insurance
- Vision insurance
Role Description
The position is a full-time, on-site Senior Data & Analytics Engineer for a Fortune 100 enterprise located in Nashville, Tennessee. It resides within a centralized BI and Intelligent Automation COE and centers on enabling enterprise-wide adoption of Microsoft Fabric and modern analytics practices. The incumbent will collaborate with business units and engineering teams to design scalable data architectures, develop reusable assets, and guide the migration of legacy analytics to Fabric, while shaping Lakehouse architectures, semantic models, and governance frameworks to ensure high performance and data quality across the analytics ecosystem.
Pay
USD 70,000.00 – 110,000.00 per year.
Application Questions
- Are you a green card holder or a US citizen?
- Total years of experience in data engineering or analytics?
- Years of experience with Power BI?
- Are you willing to work on-site in Nashville, TN, or Dallas, TX, or Peoria, IL?
- Years of experience with Delta tables or Lakehouse architectures?
- Rate your DAX proficiency on a scale from 1 to 10.
- Years of experience with SQL for data transformation and analysis?
- Years of experience with Azure data services (ADLS, Synapse, Azure SQL, etc.)?
- Have you built or supported a Fabric Lakehouse environment?
- Have you created Data Factory pipelines in Fabric?
- Have you worked with Dataflows Gen2?
- Have you implemented medallion architecture (Bronze/Silver/Gold)?
- Have you built and optimized Power BI semantic models at scale?
- Have you performed Power BI performance tuning (dataset optimization, query reduction, etc.)?
- Do you have experience with Python, PowerShell, or scripting for automation?
