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Macy's

Retail fashion and home goods retailer

Tech Manager, Data Engineering - AI, Support

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeJohns Creek, GA, USAIn-person

About the Job

Requirements

  • Advanced proficiency in Python, SQL, and modern ETL/ELT frameworks to build scalable and reliable data solutions.
  • Ability to guide engineering direction, elevate team performance, and foster cross-functional alignment.
  • Skill in communicating complex technical concepts clearly to business partners and senior leadership.
  • Ability to prioritize and execute initiatives that advance enterprise technology and business objectives.
  • Experience applying Agile methodologies to drive iterative development, transparency, and predictable outcomes.
  • Curiosity about emerging technologies and ability to inspire teams to adopt innovative approaches.
  • Ability to ensure adherence to data governance standards and enterprise architecture guidelines while maintaining high-quality pipelines.
  • Ability to cultivate a collaborative, product-focused engineering culture that supports high-performing teams.
  • A bachelor's degree or equivalent work experience in a related field is encouraged.
  • 8+ years of experience building comprehensive cloud-based data pipelines in a large organization.
  • 2+ years leading cross-functional projects.
  • Ability to perform essential job functions involving communication, collaboration, and use of office and computer systems; access and review written and electronic information; and move within the work environment and interact with workplace materials as needed.
  • Ability to work a flexible schedule based on department and company needs.

Responsibilities

  • Hire, mentor, and coach engineering talent to build strong, high-performing teams.
  • Guide teams to align architectures, standards, and technical strategies with enterprise frameworks.
  • Cultivate a collaborative, product-focused engineering culture grounded in Agile practices.
  • Define priorities, strategies, and delivery approaches across assigned data engineering portfolios or domains.
  • Oversee the execution of data pipelines, integrations, ETL processes, and data quality frameworks.
  • Ensure compliance with data governance standards and enterprise architecture guidelines.
  • Foster an environment of acceptance and respect that strengthens relationships and ensures authentic connections with colleagues, customers, and communities.

About the Company

Macy's

Retail fashion and home goods retailer

Macy's operates a large-scale retail network for fashion and home goods, combining brick-and-mortar stores with its online platform macys.com to reach a broad customer base. It offers clothing, accessories, jewelry, beauty products, shoes, and home essentials for men, women, and children through both in-store and online channels. Revenue comes from product sales at a markup, plus a branded credit card and promotions and loyalty programs. Its goals are to serve a wide audience with accessible fashion and home goods and to build customer loyalty through convenient services like free shipping thresholds and free in-store pickup, along with competitive pricing and financing options.

Company size
10,001+
Company stage
IPO
Headquarters
New York City, New York
Founded
1858

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