Tech Manager, Data Engineering - AI and Support

Macy's•Johns Creek, GA

About The Position

The Tech Manager, Data Engineering leads the development, governance, and delivery of scalable data products that advance Macy’s enterprise technology and business strategies. The role ensures teams build high-quality, reliable data pipelines and solutions for the evolving needs of analytics, data science, and business operations. It establishes engineering best practices, fosters cross-functional collaboration, and drives improved data accessibility, integrity, and innovation across the organization. The position involves hiring, mentoring, and coaching engineering talent; aligning architectures, standards, and technical strategies with enterprise frameworks; and cultivating a collaborative, product-focused engineering culture grounded in Agile practices. The manager defines priorities and delivery approaches for assigned data engineering portfolios or domains, and oversees data pipelines, integrations, ETL processes, and data quality frameworks. The role also ensures compliance with data governance standards and enterprise architecture guidelines. Other duties may be assigned. Candidates with a bachelor’s degree or equivalent work experience in a related field are encouraged to apply. The role requires 8+ years of experience building comprehensive cloud-based data pipelines in a large organization and 2+ years leading cross-functional projects. It involves communication, collaboration, and use of office and computer systems, as well as the ability to access and review written and electronic information and move within the work environment to carry out job responsibilities. A flexible schedule may be required based on department and company needs.

Requirements

Bachelor’s degree or equivalent work experience in a related field.
8+ years of experience building comprehensive cloud-based data pipelines in a large organization.
2+ years leading cross-functional projects.
Advanced proficiency in Python, SQL, and modern ETL/ELT frameworks.
Ability to guide engineering direction, improve team performance, and foster cross-functional alignment.
Skill 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.
Ability to ensure adherence to data governance standards and enterprise architecture guidelines while maintaining high-quality pipelines.
Ability to perform essential job functions involving communication, collaboration, office and computer systems, review of written and electronic information, and movement within the work environment.
Ability to work a flexible schedule based on department and company needs.

Nice To Haves

Curiosity about emerging technologies and the ability to inspire teams to adopt innovative approaches.
Ability to cultivate a collaborative, product-focused engineering culture that supports high-performing teams.

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 acceptance and respect, strengthen relationships, and support authentic connections with colleagues, customers, and communities.

Benefits

Competitive pay and benefits.
Comprehensive health and wellness coverage.
401(k) match.
Paid time off.
Eight paid holidays.
Continuous learning and leadership development.
Colleague Resource Groups.
Volunteer opportunities.
Merchandise discounts.
Performance-based incentives.
Annual merit review.
Employee Assistance Program with mental health counseling and legal/financial advice.
Tuition reimbursement.