Manager, Enterprise Data Engineering - Domino's

Key Responsibilities

• Architect and oversee end‑to‑end data pipelines that ingest, transform, and store large volumes of structured and unstructured data across the organization.
• Lead a team of data engineers in developing scalable, maintainable code using Python, SQL, and Apache Spark on AWS.
• Implement and manage workflow orchestration with Airflow, ensuring reliable execution and monitoring of data jobs.
• Collaborate with data scientists, product managers, and business stakeholders to define data requirements and deliver actionable insights.
• Establish best practices for data quality, governance, and security, and enforce compliance with internal and external standards.

Requirements

• 5+ years of experience in data engineering, with a proven track record of building production‑grade pipelines.
• Strong proficiency in Python, SQL, and Spark for large‑scale data processing.
• Hands‑on experience with AWS services (S3, Redshift, Glue, EMR, Athena) and workflow orchestration tools like Airflow.
• Excellent leadership skills, able to mentor and grow a high‑performing engineering team.
• Solid understanding of data modeling, ETL best practices, and data governance principles.