Lead Data Engineer (Microsoft Fabric)
Core
Design and develop standardized ETL pipelines and data transformation processes to migrate enterprise data from 80+ ERP systems into Microsoft Fabric for AI and analytics workloads.
Role type
Lead Data Engineer (Microsoft Fabric)
Builds
Unified, AI-ready data architecture and robust data quality frameworks
Domain
Enterprise ERP integration, Cloud Data Engineering (Azure/Microsoft Fabric)
Deliverable
production ML models | infrastructure
Required skills
SQL, Python, ETL development, Data Modeling, Data Quality Assessment, Azure Ecosystem, Microsoft Fabric, ERP Systems, Data Lineage
Preferred skills
Data Profiling, Pipeline Orchestration, Automation Scripting
Technologies
Microsoft Fabric, Azure, SQL, Python
Responsibilities
Conduct gap analysis and data mapping across 80+ ERP systems; Design and develop ETL pipelines for data migration; Build data quality frameworks and validation rules; Lead hands-on implementation of ETL standards; Develop and optimize data models for AI readiness; Mentor team members on ETL and Fabric practices; Collaborate on data lineage documentation; Troubleshoot data inconsistencies.
Seniority
Senior, hands-on IC with leadership responsibilities
