Manager - Data Engineering

AEO; Pittsburgh (Allegheny County); Hybrid; USD 120,000 - 150,000; Full time

Benefits offered by this job

Generous employee discount

Summer Fridays

Casual dress code

Hybrid schedule

FOMO events

Job summary

A leading retail company is looking for a Manager of Data Engineering in Pittsburgh, PA. You will manage the Consumer Data Engineering Team, overseeing data integration across customer, digital, and store operations. Candidates should have 8+ years of experience in Data Engineering and strong leadership qualities. Familiarity with GCP tools like Google BigQuery and a solid understanding of data modeling are essential. The role supports a hybrid work schedule and offers various employee perks such as discounts and wellness benefits.

Qualifications

• 8+ years of experience in Data Engineering, with 2+ years in a management role.
• Deep understanding of CRM, Digital/eCommerce, Marketing Analytics, and Store Operations.
• Hands-on experience with SQL and Python.

Responsibilities

• Oversee the Consumer engineering teams and align technical roadmaps with business priorities.
• Manage Data Engineers and provide mentorship.
• Collaborate with the Sr. Data Architect on technical standards.

Skills

Data Engineering

Team Leadership

Google BigQuery

SQL

Python

Problem Solving

Tools

Google Cloud Composer

Dimensional Modeling

Job description

Overview

Title: Manager - Data Engineering

Reports To: Director - Data Engineering

Location: Pittsburgh, PA or New York, NY

American Eagle is a youth culture brand grounded in denim. Our purpose extends beyond making the best jeans—we embrace self expression, culture, optimism and connection. Through the brand platform Live Your Life, we empower our community to be who they want to be all while wearing the clothes that make them most confident.

Get to Know the Role:

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.

What You’ll Do

• 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.

What You Bring

• 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 Have

• 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).

Perks

• Generous employee discount
• Summer Fridays
• Casual dress code
• Hybrid schedule
• FOMO events (Exciting company-wide events)

PAY/BENEFITS INFORMATION

• Actual starting pay is determined by various factors, including but not limited to relevant experience and location.
• Subject to eligibility requirements, associates may receive health care benefits (including medical, vision, and dental); wellness benefits; 401(k) retirement benefits; life and disability insurance; employee stock purchase program; paid time off; paid sick leave; and parental leave and benefits.
• Paid Time Off, paid sick leave, and holiday pay vary by job level and type, job location, employment classification (part-time or full-time / exempt or non-exempt), and years of service.