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# Manager - Data Engineering

- **Company:** AEO Management Co.
- **Location:** New York, NY, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Agile Methodology, Airflow, Automation of Tests, Software Quality, Customer Data Management, Data Architecture, Information Engineering, Dimensional Modeling, Python (Programming Language), SQL Databases, Google Cloud, Large Language Models, Snowflake, Generative AI, Google Bigquery, Data Pipelines, Data Generation
- **Published:** August 10, 2026
- **Apply:** https://www.dice.com/job-detail/2bb1f34d-7156-4e51-95b4-6b9d04deb523

## About the Role

* 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.
 * Google Cloud Platform 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).

## Description

* 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 Google Cloud Platform Medallion architecture.


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