Manager - Data Engineering

American Eagle Outfitters•Pittsburgh, PA

17h•Hybrid

About The Position

American Eagle is seeking a results-driven Data Engineering Manager to lead the Consumer Data Engineering Team, specifically overseeing domains such as Customer, Digital/eCommerce, and Store Operations. You will lead a team of high-performing onshore engineers and offshore partners to build robust data products that drive operational efficiency. This role requires a blend of people leadership, project management, and deep domain expertise in retail operations to cultivate a sustainable, high-performance engineering culture.

Requirements

8+ years in Data Engineering with at least 2+ years of formal people management or team lead experience.
Deep understanding of Customer Data (CRM, Loyalty, Customer 360), Digital/eCommerce (web/app clickstream), Marketing Analytics (attribution, campaign performance), and Store Operations.
Hands-on experience with Google BigQuery, Cloud Composer (Airflow), and building pipelines using SQL and Python.
Familiarity with Dimensional Modeling (Star/Snowflake) and its application within a Medallion architecture (Bronze/Silver/Gold).
Strong problem-solving and systems-thinking skills with a proven ability to balance short-term execution with long-term platform health.
Experience running high-velocity engineering sprints and managing a backlog of data product features.

Nice To Haves

Familiarity with or vision for integrating Generative AI into data engineering workflows (e.g., using LLMs for SQL generation, automated metadata documentation, or synthetic data creation).

Responsibilities

Direct oversight of the Consumer engineering teams, ensuring technical roadmaps are aligned with business priorities like customer personalization, marketing attribution, and omnichannel engagement.
Directly manage a team of Data Engineers, providing technical mentorship, performance management, and professional development.
Partner closely with the Sr. Data Architect to ensure all domain-specific pipelines align with enterprise-wide technical standards and the Medallion architecture blueprint.
Act as the primary technical point of contact for Consumer-side business leads, translating complex operational needs into actionable engineering requirements.
Establish and maintain best practices for code quality, documentation, and automated testing to ensure the long-term sustainability of the Consumer data ecosystem.
Ensure the delivery of high-quality "Gold" layer data products within our GCP Medallion architecture.