Data Engineer 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 Lead, design, and scale data solutions to support Journey Analytics initiatives, with a strong focus on code quality, reusability, and reliable data platforms. This role is responsible for setting the technical direction, overseeing the evolution of data architectures, and leading a team of data engineers to deliver high-quality, performant datasets for analytics and reporting use cases. The ideal candidate combines strong hands-on data engineering expertise with people leadership experience, and has a proven track record of driving scalable solutions in cross-functional environments. Responsibilities Lead and mentor a team of data engineers, fostering best practices in coding, architecture, and data engineering standards. Define and drive the technical strategy for Journey Analytics data platforms, ensuring scalability, maintainability, and performance. Oversee the maintenance, optimization, and automation of code repositories in GitHub, ensuring high-quality and consistent development practices. Guide the refactoring of legacy codebases to improve maintainability, scalability, and reusability across multiple use cases. Drive the design and implementation of modular, reusable data components to support multiple journeys and reduce duplication. Oversee the development and management of automated data pipelines in Databricks,