Lead Data Engineer

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world, creating more fulfilling work and projects for our people and clients. For more information, visit www.blend360.com We are seeking a Lead Data Analyst to contribute to our next level of growth and expansion. 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. Advanced prof