Job DescriptionTitle: Manager - Data Engineering
Reports To: Director - Data Engineering
Location: Pittsburgh, PA or New York, NY
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- 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. For additional information, please click HERE.
- AEO may also provide discretionary bonuses and other incentives at its discretion.
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