• Build scalable data pipelines using Python, Spark and Airflow to move data from different applications into our data lake. • Collaborate and influence the long term technology strategy and innovations roadmaps across data engineering areas. • Provide technical leadership, mentorship and growth to junior team members as we scale • Collaborate closely with engineering and product to elevate data generation approaches • Manage the end-to-end life cycle on the development of new features and pipelines • Ideate and contribute to shared data engineering tooling and standards. • Define and promote data engineering best practices across the company.