[Remote] Data Engineering Manager at Machinify

The Data Engineering Manager will lead, mentor, and grow a high-performing team of Data Engineers, fostering technical excellence, collaboration, and career growth. They will own the design, review, and optimization of production pipelines, ensuring high performance, reliability, and maintainability. This role involves driving customer data onboarding projects, standardizing external feeds into canonical models, and collaborating with senior leadership to define team priorities, project roadmaps, and data standards. The manager will lead sprint planning, prioritize initiatives that improve customer metrics and product impact, and partner closely with Product, ML, Analytics, Engineering, and Customer teams to translate business needs into effective data solutions. Responsibilities also include ensuring high data quality, observability, and automated validations across all pipelines, contributing hands-on when necessary to architecture, code reviews, and pipeline design, and identifying and implementing tools, templates, and best practices to improve team productivity. The role requires building cross-functional relationships to advocate for data-driven decision-making, solving complex business problems, hiring, mentoring, and developing team members, and communicating technical concepts and strategies effectively to both technical and non-technical stakeholders, while measuring team impact through metrics and KPIs.