Data Engineer Manager level

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 looking for a Data Engineering Manager to lead the team responsible for building the data and ML engineering foundation for a growing Machine Learning organization. This is a technical leadership role combining people leadership, cloud architecture, MLOps, and delivery. The Manager will help establish the technical foundation for the client's long-term machine learning strategy while ensuring the team can deliver production-ready solutions from the outset. A key aspect of the role will be helping establish the foundation for the client's eventual agentic architecture and AI initiatives. The ideal candidate therefore has exposure to agentic architectures or related AI engineering patterns, in addition to strong Data Engineering and MLOps experience. Key Responsibilities Lead, mentor, and develop a team of Data Engineers focused on data and ML infrastructure. Define and implement technical approaches for scalable cloud-based MLOps . Establish the engineering foundation required to support machine learning models throughout their lifecycle. Oversee the development of data pipelines, ML infrastructure, deployment processes, monitoring, automation, and CI/CD. Partner closely with Data Science leadership to ensure models can move efficiently from development into production. Define engineering standards, best practices, an