Manager - Data Engineering

American Eagle Outfitters•Pittsburgh, PA

8h•Hybrid

About The Position

We are 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

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

Nice To Haves

Emerging Technology: 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

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