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Tech Manager, Data Engineering - AI and Support

Job in Johns Creek, Fulton County, Georgia, USA
Listing for: Bloomingdale's Inc.
Full Time position
Listed on 2026-07-24
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below

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.

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