Senior Microsoft Fabric Data Engineer

Senior Microsoft Fabric Data Engineer

Experience: 10+ Years

Employment Type: Full-Time

Work Mode: Hybrid / Remote / Onsite, as applicable

About the Role

We are looking for an experienced Senior Microsoft Fabric Data Engineer with 10+ years of expertise in Data Engineering, Data Warehousing, Analytics, and Cloud Data Platforms to design, build, and optimize modern enterprise-scale data solutions using Microsoft Fabric .

The ideal candidate will have strong hands-on experience across Microsoft Fabric, Azure data services, data architecture, data integration, real-time analytics, data governance, and performance optimization. This role requires someone who can combine deep technical expertise with strong architectural thinking and effectively collaborate with business and technology stakeholders. Microsoft Fabric certification is mandatory for this role.

Mandatory Certification

Candidates must hold an active:

• Microsoft Certified: Fabric Analytics Engineer Associate (DP-700) or higher – Mandatory

Preferred Certifications:

• Microsoft Certified: Azure Data Engineer Associate (DP-203)
• Microsoft Certified: Azure Solutions Architect Expert

Key Responsibilities

Microsoft Fabric & Data Engineering

• Design, build, and maintain enterprise-scale data platforms using Microsoft Fabric.
• Develop scalable Lakehouse, Data Warehouse, Medallion Architecture, and Data Mesh solutions.
• Build end-to-end data pipelines using Data Factory in Microsoft Fabric.
• Develop robust ETL/ELT frameworks for large-scale data processing.
• Design and implement both batch and real-time data ingestion solutions.
• Work extensively with OneLake, Lakehouse, Fabric Warehouse, Dataflows Gen2, Notebooks, Eventstreams, and KQL Databases.
• Develop advanced analytics solutions leveraging the unified Microsoft Fabric platform.
• Implement enterprise standards for data security, governance, compliance, and data quality.

Data Modeling & Performance Optimization

• Design enterprise-level dimensional, relational, and analytical data models.
• Optimize Spark workloads, PySpark notebooks, SQL queries, and data transformations.
• Drive query performance, storage optimization, workload management, and overall platform efficiency.
• Establish and implement best practices for scalable and maintainable data engineering.

Cloud & Enterprise Integration

• Integrate Microsoft Fabric with enterprise technologies including:
  • Azure Data Lake Storage Gen2
  • Azure Synapse Analytics
  • Azure SQL Database
  • Databricks
  • Power BI
  • SAP
  • Salesforce
  • Other enterprise applications
• Drive cloud modernization and data platform migration initiatives.
• Support migration from legacy and cloud data platforms to Microsoft Fabric.

Technical Leadership & Stakeholder Management

• Lead architecture discussions, solution design, and technical design reviews.
• Provide technical leadership across enterprise data transformation initiatives.
• Mentor and guide junior and mid-level data engineers.
• Collaborate closely with business stakeholders, solution architects, product teams, and engineering teams.
• Translate business requirements into scalable and effective technical solutions.
• Act as a subject matter expert for Microsoft Fabric and modern data engineering practices.

Required Technical Skills

Microsoft Fabric – Expert Level

• OneLake
• Lakehouse
• Fabric Data Warehouse
• Data Factory
• Dataflows Gen2
• Notebooks
• Spark Engineering
• Eventstreams
• Real-Time Analytics
• KQL / KQL Databases
• Fabric Capacity Management
• Fabric Security & Governance

Data Engineering

• ETL/ELT Design Patterns
• Data Warehousing
• Data Modeling
• Data Governance
• Master Data Management
• Data Quality Frameworks
• Large-scale data processing

Programming & Query Languages

• Python
• PySpark
• Spark SQL
• SQL / T-SQL

Azure Data Platform

• Azure Data Lake Storage Gen2
• Azure Data Factory
• Azure Synapse Analytics
• Azure SQL Database
• Azure Key Vault
• Azure DevOps
• Azure Monitor

BI & Analytics

• Power BI
• DAX
• Semantic Models
• Power BI Performance Tuning

DevOps & Engineering Practices

• Git
• CI/CD Pipelines
• Infrastructure as Code
• Release Management

Required Qualifications

• Bachelor's or Master's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• 10+ years of overall experience in Data Engineering / Data Platforms.
• Minimum 2+ years of hands-on experience with Microsoft Fabric.
• Strong expertise in Azure Data Platform technologies.
• Proven experience working with large-scale structured and unstructured datasets.
• Strong understanding of enterprise data architecture and modern data engineering patterns.
• Experience delivering or leading enterprise-scale data modernization initiatives.
• Excellent communication, client-facing, stakeholder management, and problem-solving skills.

Preferred Experience

Experience in one or more of the following domains will be an advantage:

• BFSI
• Healthcare
• Retail
• Manufacturing
• Technology

Experience with data platform migrations, including:

• On-premises Data Warehouse → Microsoft Fabric
• Azure Synapse → Microsoft Fabric
• Databricks → Microsoft Fabric
• Hadoop Ecosystems → Microsoft Fabric

Additional exposure to AI/ML integration and analytics capabilities within Microsoft Fabric will be preferred.

What Success Looks Like

Success in this role will be demonstrated through:

• Delivery of scalable, secure, and high-performing Microsoft Fabric solutions.
• Highly reliable and optimized data pipelines.
• Improved platform performance and cost efficiency.
• Adoption of strong data governance, security, and engineering best practices.
• Successful execution of enterprise-scale Fabric implementations and modernization programs.
• Effective technical leadership, mentoring, and stakeholder collaboration.

Ideal Candidate Profile

We are looking for a hands-on technology leader who combines strong Microsoft Fabric expertise with solid data engineering fundamentals and architectural capabilities. The right candidate should be comfortable working at both the technical implementation and solution architecture levels, while also leading discussions with senior stakeholders and driving enterprise data transformation.

If you are passionate about modern data platforms and have deep expertise in Microsoft Fabric, we would love to hear from you.