Manager - Data Engineering

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.