Tech Manager, Data Engineering - AI and Support

Bloomingdale's Inc.; Johns Creek (GA); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Merchandise discounts

Performance-based incentives

Annual merit review

Employee Assistance Program

Tuition reimbursement

Job summary

Macy's Johns Creek, GA is seeking a Tech Manager, Data Engineering to lead the development and governance of scalable data products that advance analytics, data science and business operations. You will hire, mentor and coach engineering talent, align architectures with enterprise standards, foster an Agile, product-driven culture, and ensure data governance, quality and delivery across data pipelines.

Join a collaborative, inclusive environment with competitive pay and opportunities for

Qualifications

• 8+ years building cloud-based data pipelines in large organizations.
• 2+ years of leadership on cross-functional projects.
• Bachelor's degree or equivalent work experience in related field.

Responsibilities

• Hire, mentor, and coach engineering teams.
• Guide architectures to align with enterprise frameworks.
• Foster an Agile, product-focused engineering culture.
• Oversee data pipelines, ETL, data quality, and governance.

Skills

Python

SQL

ETL/ELT frameworks

Technical Leadership

Stakeholder Management

Strategic Thinking

Agile Delivery

Innovation & Learning

Data Governance

Collaboration

Education

Bachelor's degree

Job description

Be part of an amazing story

Macy’s is more than just a store. It’s a story captured in America’s heart for more than 160 years, reflecting innovation, tradition and memorable moments. Working here offers a unique chance to be part of that legacy.

Job Overview

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 high-quality, reliable data pipelines and solutions that satisfy analytics, data science, and business operations. It establishes engineering best practices, fosters cross‑functional collaboration, and drives outcomes that enhance data accessibility, integrity, and innovation across the organization.

What You Will Do

• 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.
• Perform additional duties as needed.

Skills You Will Need

• Programming & Data Tools: Advanced proficiency in Python, SQL, and modern ETL/ELT frameworks to build scalable and reliable data solutions.
• Technical Leadership: Ability to guide engineering direction, elevate team performance, and foster cross‑functional alignment.
• Stakeholder Management: Skilled at communicating complex technical concepts clearly to business partners and senior leadership.
• Strategic Thinking: Ability to prioritize and execute initiatives that advance enterprise technology and business objectives.
• Agile Delivery: Experienced in applying Agile methodologies to drive iterative development, transparency, and predictable outcomes.
• Innovation & Continuous Learning: Demonstrates curiosity for emerging technologies and inspires teams to adopt innovative approaches.
• Data Governance & Compliance: Ensures adherence to data governance standards and enterprise architecture guidelines while maintaining high‑quality pipelines.
• Collaboration & Culture: Cultivates a collaborative, product‑focused engineering culture that supports high‑performing teams.

Who You Are

• Candidates with a 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, with 2+ years of leadership on cross‑functional projects.
• Ability to work a flexible schedule based on departmental and company needs.

What We Can Offer You

Join a dynamic and inclusive environment with competitive pay, comprehensive health and wellness coverage, a 401(k) match, paid time off, and eight paid holidays. Grow your career with continuous learning and leadership development, participate in volunteer opportunities, and be part of community initiatives.

Additional Benefits

• Merchandise discounts
• Performance‑based incentives
• Annual merit review
• Employee Assistance Program with mental‑health counseling and legal/financial advice
• Tuition reimbursement

We are an Equal Opportunity Employer committed to a diverse and inclusive work environment.