Lead Data Engineer - Marketplace

Macy's•Duluth, GA

4h•$129,900 - $216,400

About The Position

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

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.

Nice To Haves

Data Engineering: Designs and builds scalable data pipelines using Big Data technologies on Google Cloud Platform.
Data Architecture: Implements foundational ETL processes and collaborates on enterprise-wide data models.
Technical Communication: Translates complex technical concepts for diverse audiences across the organization.
Project Ownership: Manages multiple initiatives with clear prioritization and accountability.
Strategic Thinking: Aligns data solutions with business goals and future-proofing needs.
Compliance Awareness: Ensures adherence to legal and privacy standards in data handling.

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

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