Lead Data Engineer (Microsoft Fabric)
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Job Description
What is this position about?
• Conduct comprehensive gap analysis and data mapping across 80+ ERP systems to identify integration challenges, data inconsistencies, and transformation requirements.
• Design and develop standardized ETL pipelines and data transformation processes for migrating enterprise data into Microsoft Fabric.
• Build robust data quality frameworks and validation rules to ensure data readiness for AI and analytics workloads.
• Lead hands-on implementation of ETL standards and best practices, establishing repeatable patterns and automation scripts for multi-source integrations.
• Develop and optimize data models that support seamless transformation from fragmented ERP sources into a unified, AI-ready data architecture.
• Lead the pilot implementation phase, testing and refining standards against real ERP data before full-scale rollout.
• Mentor and guide team members on ETL development, data transformation techniques, and Fabric-specific engineering practices.
• Collaborate with stakeholders to document data lineage, transformation logic, and integration patterns for knowledge transfer and governance.
• Troubleshoot data inconsistencies and implement corrective measures to maintain data integrity throughout the pipeline.
Requirements
Function: Marketing
Experience Level: Mid-Senior Level