Data Engineering Tech Manager - Lead Pipelines & Teams

Macy's; Johns Creek (GA); On-site; USD 150,000 - 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 is seeking a Tech Manager, Data Engineering to lead the development, governance, and delivery of scalable data products. You will guide teams to deliver reliable data pipelines and analytics-ready datasets, while aligning with enterprise frameworks and governance standards.

Lead cross-functional collaboration, promote an innovative data culture, and ensure high-quality data solutions that support analytics, data science, and business operations.

Qualifications

• 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.

Responsibilities

• Build and mentor high-performing data engineering teams.
• Align architectures and standards with enterprise frameworks.
• Foster Agile, product-focused engineering culture.
• Define priorities and delivery approaches for data portfolios.
• Oversee data pipelines, ETL/ELT, and data quality frameworks.
• Ensure governance and enterprise architecture compliance.

Skills

Python & SQL

Data pipelines

Leadership

Agile delivery

Stakeholder mgmt

Strategic thinking

Data governance

Collaboration

Education

Bachelor's degree or equivalent

Tools

ETL/ELT frameworks

Job description

Macy's is seeking a Tech Manager, Data Engineering to lead the development, governance, and delivery of scalable data products. You will guide teams to deliver reliable data pipelines and analytics-ready datasets, while aligning with enterprise frameworks and governance standards.

Lead cross-functional collaboration, promote an innovative data culture, and ensure high-quality data solutions that support analytics, data science, and business operations.