The role involves building and supporting AWS infrastructure components like EMR, ECS, Lambda, and IAM, while also owning and managing GitLab and supporting the transition to GitHub Actions. Responsibilities include developing Python-based ETL/automation scripts, building Airflow DAGs, and improving CI/CD pipelines across multiple engineering teams.

The role involves leading the operational analytics function at a strategic level, partnering with executives to guide decision-making processes. This leadership is aimed at ensuring continuous operational efficiency improvements across the entire business.

Senior Data Engineers are responsible for leading the development and optimization of complex data systems and pipelines. This includes managing data projects, ensuring high data quality, and mentoring junior engineers on the team.

The role involves evolving the current offering into a self-service reporting platform while expanding the data footprint, defining data governance practices, and managing lights-out operations of ETL/ELT pipelines supporting customer reporting. Responsibilities also include untangling and normalizing disparate data sources, designing reporting security, handling stakeholder requests, and supporting data analysts and ML/AI workloads.