• You will manage a team of data engineers, set technical direction, and partner closely with Product, Analytics, Infrastructure, and Business stakeholders to deliver high-impact data solutions. • Lead, mentor, and develop a team of Data Engineers through regular 1:1s, coaching, and performance feedback • Own hiring, onboarding, career development, and performance management for the team • Foster a culture of accountability, ownership, collaboration, and continuous improvement • Balance delivery expectations with sustainable team practices • Own the design, development, and operation of data ingestion, transformation, and storage pipelines (batch and streaming) • Ensure reliability, scalability, performance, and cost efficiency of data systems • Drive best practices in data modeling, data quality, observability, and operational excellence • Review and guide technical designs, architecture decisions, and code quality • Partner with platform and infrastructure teams on tooling, security, and scalability • Translate business and analytics requirements into scalable technical solutions • Partner with Product, Analytics Engineering, Data Science, and Business teams to deliver trusted datasets and metrics • Own sprint planning, prioritization, and delivery commitments • Communicate progress, risks, and tradeoffs clearly to stakeholders and leadership • Establish and enforce data engineering standards, patterns, and documentation • Support data governance, data contracts, and schema management • Ensure compliance with security, privacy, and data retention requirements.