Data Engineering Manager (Databricks)

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? Design, build, and maintain semantic layers and KPI models using Databricks Metric Views to underpin governed executive scorecards and AI-powered analytical solutions. Work directly with business owners to define, validate, and translate KPI requirements into reusable data models and business logic. Profile source data quality, ownership, data grain, and reconciliation requirements across enterprise source systems. Design and implement data integration and transformation pipelines that prepare enterprise data for AI-generated narratives and conversational analytics. Define conformed dimensions and market-specific data variations to support multi-market reporting and analytics. Collaborate closely with Business Analysts and AI Engineers to align KPI definitions with underlying data structures and business ontologies. Establish and enforce data quality, validation, and monitoring frameworks across all data assets feeding analytical applications. Implement security, access control, and governance practices aligned with platform and AI governance standards. Lead technical documentation and knowledge transfer initiatives at the conclusion of each delivery phase. Support production readiness assessments an