Data Engineering Manager

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 Data Engineering Manager to contribute to our next level of growth and expansion. What is this position about? We're looking for a Data Engineering Manager to lead the design and delivery of complex data pipelines and integration solutions that power critical business workflows for our clients. You will own end-to-end data engineering initiatives from discovery and POC development through production deployment and optimization, while building and scaling a high-performing engineering team. Your work will span platform-agnostic data architecture, high-volume record matching, deduplication, and near-real-time delivery systems. You will guide teams through complex data modeling decisions, performance optimization, and integration design, helping clients understand the tradeoffs between batch and real-time approaches, API-driven versus clean-room workflows, and infrastructure options. What You Will Do Design and implement data ingestion architectures on Snowflake. Lead data engineering projects end to end—from discovery and requirements through POC validation to production deployment—while building and mentoring a high-performing engineering team Design platform-agnostic data pipelines and schemas that scale reliably at high volume, including complex data modeling for submit-grade-return workflows, identity graph