Senior Data Engineer (Microsoft Fabric) Position Available In Davidson, Tennessee

Senior Data Engineer (Microsoft Fabric)

Job Summary:

We are seeking an experienced Senior Data Engineer with strong expertise in Microsoft Fabric to support our enterprise data modernization and analytics transformation initiatives. The ideal candidate will have a deep understanding of data pipelines, lakehouse architecture, Power BI, Synapse integration, and experience in modernizing legacy data systems to cloud-native solutions. This role is critical in building scalable, secure, and high-performing data solutions on the Microsoft ecosystem.

Key Responsibilities:

Design and implement data pipelines using Microsoft Fabric s Data Factory, Synapse Data Engineering, and OneLake components.
Build and maintain lakehouse architectures leveraging Delta Lake, Parquet, and OneLake within Microsoft Fabric.
Lead initiatives to modernize legacy ETL/ELT processes to cloud-native data pipelines.
Work closely with Data Architects, BI Developers, and Analysts to deliver scalable data models for analytics and reporting.
Optimize performance of Power BI datasets and reports through best practices in data modeling and DAX.
Implement data governance and security controls, including Microsoft Purview, role-based access, and lineage tracking.
Collaborate with cross-functional teams in cloud migration, especially from on-premises SQL/Oracle/Hadoop platforms to Microsoft Azure & Fabric.
Evaluate and implement CI/CD practices for data pipelines using Azure DevOps or GitHub Actions.

Required Skills & Qualifications:

Bachelor s/Master s degree in Computer Science, Information Systems, or related field.
8+ years of experience in data engineering or BI development.
Strong hands-on experience with Microsoft Fabric components:
Data Factory
Lakehouse / OneLake
Synapse Data Engineering
Power BI
Experience with data modeling (star/snowflake) and performance tuning in Power BI.
Deep understanding of modern data architecture patterns including lakehouse, medallion architecture, and ELT frameworks.
Expertise in SQL, PySpark, T-SQL, DAX, and Power Query (M language).
Experience modernizing platforms from SSIS, Informatica, or Hadoop to cloud-native tools.
Familiarity with Azure ecosystem Azure Data Lake, Azure SQL DB, Azure Functions, Azure Synapse, Azure Data Factory.
Strong experience in CI/CD pipelines, preferably with Azure DevOps.
Familiarity with data security, GDPR, HIPAA, and enterprise data governance.

Preferred Qualifications:

Microsoft certifications such as:

Microsoft Certified:

Fabric Analytics Engineer Associate
Azure Data Engineer Associate (DP-203)
Experience with DataOps and Agile delivery methods.
Knowledge of Machine Learning/AI integration with Fabric is a plus.
Hands-on with Notebooks in Microsoft Fabric using Python or Scala.

Soft Skills:

Strong analytical and problem-solving skills.
Excellent communication and stakeholder management capabilities.
Ability to lead projects, mentor junior engineers, and collaborate with cross-functional teams.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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Dice Id:

10125806

Position Id:

8639805