Lead Data Engineer - Marketplace

Macy's•Johns Creek, GA

About The Position

Be part of an amazing story Macy’s is more than just a store. We’re a story. One that’s captured the hearts and minds of America for more than 160 years. A story about innovations and traditions…about inspiring stores and irresistible products…about the excitement of the Macy’s 4th of July Fireworks, and the wonder of the Thanksgiving Day Parade. We’ve been part of memorable moments and milestones for countless customers and colleagues. Those stories are part of what makes this such a special place to work. Job Overview The Lead Enterprise Data Engineer designs and maintains scalable data architecture to support Macy’s analytics initiatives. This role ensures high-quality, secure, and efficient data pipelines that enable strategic decision-making and customer-centric innovation across the enterprise.

Requirements

Designs and builds scalable data pipelines using Big Data technologies on Google Cloud Platform.
Implements foundational ETL processes and collaborates on enterprise-wide data models.
Translates complex technical concepts for diverse audiences across the organization.
Manages multiple initiatives with clear prioritization and accountability.
Aligns data solutions with business goals and future-proofing needs.
Ensures adherence to legal and privacy standards in data handling.
Holds a Bachelor’s degree from a four-year college or university
Brings 5+ years of experience, including 3+ years in relevant technologies and enterprise environments
Demonstrates proficiency in production-level coding and distributed computing
Familiar with data modeling, architecture, and security best practices
Communicates effectively across technical and non-technical teams
Thrives in a fast-paced environment with multiple priorities
Regularly required to sit, talk, hear; use hands/fingers to touch, handle, and feel. Occasionally required to move about the workplace and reach with hands and arms. Requires close vision.

Responsibilities

Develop and maintain robust data pipelines and processing systems for priority analytics use cases
Collaborate with Technology and Data Science teams to integrate machine learning models and optimize data workflows
Implement data models, standards, and quality rules in partnership with Data Architects
Ensure compliance with data privacy and security regulations in coordination with Legal and Privacy teams
Support business users with curated data sets and user-friendly tools for data access
Promote a data-driven culture and increase digital IQ across business units
Monitor and improve database structures and ETL processes for performance and reliability
Automate data cleansing and harmonization processes in refined/trusted zones

Benefits

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