Manager - Data Engineering

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

Benefits offered by this job

Summer Fridays

Casual dress code

FOMO events

Job summary

A prominent fashion retailer is seeking a Data Engineering Manager to lead its Consumer Data Engineering Team. This role involves managing onshore and offshore engineers, ensuring the alignment of technical roadmaps with business priorities, and delivering data products within a GCP environment. Candidates should have at least 8 years of experience in Data Engineering, expertise in customer and eCommerce data, and familiarity with GCP tools like BigQuery. The position offers various perks including a casual dress code and summer Fridays.

Qualifications

• 8+ years in Data Engineering, 2+ years in people management or team lead.
• Deep understanding of Customer Data, Digital/eCommerce, Marketing Analytics, and Store Operations.
• Hands-on experience with GCP tools and building data pipelines using SQL and Python.

Responsibilities

• Lead the Consumer Data Engineering Team and oversee technical roadmaps.
• Manage a team of Data Engineers and provide technical mentorship.
• Collaborate with Sr. Data Architect on pipelines and technical standards.
• Translate complex needs into actionable engineering requirements.
• Establish best practices for code quality and documentation.
• Deliver high-quality data products within GCP Medallion architecture.

Skills

Data Engineering

People Management

GCP

SQL

Python

Agile Methodology

Tools

Google BigQuery

Cloud Composer (Airflow)

Job description

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: Why You’ll Love it Here

• Summer Fridays
• Casual dress code
• 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. For additional information, please clickHERE.
• AEO may also provide discretionary bonuses and other incentives at its discretion.

AEO is an Equal Opportunity Employer and is committed to complying with all federal, state and local equal employment opportunity ("EEO") laws. AEO prohibits discrimination against associates and applicants for employment because of the individual's race or color, religion or creed, alienage or citizenship status, sex (including pregnancy), national origin, age, sexual orientation, disability, gender identity or expression, marital or partnership status, domestic violence or stalking victim status, genetic information or predisposing genetic characteristics, military or veteran status, or any other characteristic protected by law. This applies to all AEO activities, including, but not limited to, recruitment, hiring, compensation, assignment, training, promotion, performance evaluation, discipline and discharge. AEO also provides reasonable accommodation of religion and disability in accordance with applicable law.