We are looking for a highly skilled
Lead Data Engineer
with strong expertise in
Microsoft Fabric
to design, develop, and manage modern data platforms. The ideal candidate will drive end-to-end data engineering solutions, mentor the team, and collaborate closely with business and technical stakeholders to deliver scalable and high-performance data pipelines.

Key Responsibilities

• 
  Lead the design and implementation of
  end-to-end data solutions
  on
  Microsoft Fabric
  , including Data Factory, Lakehouse, Warehouse, and Data Engineering experiences.
• 
  Build and optimize
  ETL/ELT pipelines
  using PySpark, Dataflows Gen2, and Fabric pipelines.
• 
  Architect and maintain
  Lakehouse and Delta Lake
  structures for large-scale data processing.
• 
  Ensure strong data governance, quality, lineage, and security across the ecosystem.
• 
  Work closely with data architects, analysts, and business partners to understand requirements and convert them into technical solutions.
• 
  Oversee performance tuning, capacity planning, cost management, and platform optimization.
• 
  Mentor junior data engineers and provide best practices for coding, design, and deployment.
• 
  Implement CI/CD processes for Fabric workloads (Git integration, workspace management, DevOps).
• 
  Troubleshoot data pipeline failures, production issues, and optimize workloads.
• 
  Stay updated with Microsoft Fabric roadmap and bring innovative solutions into the architecture.

Required Skills & Experience

• 
  7+ years of experience in
  Data Engineering
  , with at least
  2+ years in Microsoft Fabric
  or modern data platforms.
• 
  Strong hands-on experience in:
  • 
    PySpark / Spark SQL
  • 
    Fabric Data Engineering, Lakehouse, Warehouse
  • 
    Pipelines, Dataflows Gen2, KQL, Notebooks
  • 
    Delta Lake and Medallion architecture
• 
  Solid understanding of
  data modeling
  ,
  data warehousing
  , and
  SQL performance tuning
  .
• 
  Experience with
  Azure services
  : ADLS, Synapse, Data Factory, Databricks (added advantage).
• 
  Expertise in
  Git
  , DevOps practices, and production deployment workflows.
• 
  Strong analytical/problem-solving skills and stakeholder management capabilities.
• 
  Experience leading a team or owning end-to-end delivery of data solutions.

Good to Have

• 
  Knowledge of
  Power BI
  integration with Fabric
• 
  Experience with
  Real-time analytics / Event streaming
• 
  Familiarity with
  Python development
  and API integrations
• 
  Exposure to
  ML pipelines
  within Fabric