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.