Manager, Data Engineering & Analytics

About the Role We are looking for a Manager, Data Engineering & Analytics to own the architecture, delivery, and evolution of our enterprise data platform. This is a hybrid leadership and hands-on role: you’ll manage a team of data engineers while staying close to the data modeling, pipeline architecture, and business automation work that keeps the platform running. You will act as the bridge between business stakeholders and technical execution — scoping requirements, architecting scalable solutions in Google BigQuery and dbt, orchestrating integrations through SnapLogic, and overseeing our Tableau environment.

Team Leadership & Agile Delivery Manage and mentor a team of data engineers, providing regular feedback, technical coaching, performance reviews, and career development support. Own the team’s Jira board and lead Agile/Scrum ceremonies, including backlog grooming, sprint planning, task estimation, and delivery tracking. Build a culture of technical excellence, accountability, clear documentation, and continuous learning.

Data Architecture, Engineering & Business Automation Architect and maintain our data transformation layer in dbt, ensuring modular, tested, and well-documented data models. Manage and optimize our enterprise data warehouse in Google BigQuery, including performance tuning, cost management, and access controls. Build and monitor ELT pipelines and automated workflows using SnapLogic and REST APIs to connect core SaaS platforms and enterp