Principal, Engineer - Architecture - Enterprise

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 Principal, Data Engineer serves as a strategic leader advancing Macy’s shift to a data-led organization by delivering faster insights that streamline operations and enhance the customer experience. They design and build scalable cloud data platforms that power enterprise-wide analytics and decision-making. They also define data architecture standards in collaboration with enterprise architecture, ensuring alignment with security protocols, governance requirements, and long-term technology strategy.

What You Will Do

• Establish and enforce enterprise-wide data standards and a consistent approach to data modeling aligned with the organization's overall technology strategy.
• Develop and maintain a strategic data roadmap focused on long-term sustainability, scalability, and operational efficiency.
• Collaborate with executive leadership, product teams, and engineering to ensure data initiatives are aligned with business goals and drive measurable value.
• Lead the evaluation and adoption of cutting-edge technologies for data management, storage, and analytics in partnership with data scientists to implement best practices.
• Define, visualize, and document scalable data frameworks to guide data engineers and data scientists in development and maintenance.
• Drive adoption of modern data architecture patterns, including event-driven architectures, real-time data streaming (e.g., Kafka, Pulsar), and AI-powered analytics.
• Leverage AI to analyze data architectures, uncover patterns, identify gaps, and recommend opportunities for improvement.
• Oversee the design, development, implementation, and maintenance of complex data systems, ensuring full lifecycle data management.
• Build and maintain automated, enterprise-grade data pipelines and transformation processes.
• Partner with Legal, Security, and Data Governance teams to ensure compliance and the standardization of certified data assets.
• Mentor and coach engineers on data tools, technologies, and domain expertise to strengthen technical capability across the team.
• Collaborate with business and technology teams to support analytics execution, enhance data accessibility, and enable self-service insights.
• Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities. 
• In addition to the essential duties mentioned above, other duties may be assigned.

Skills You Will Need

Cloud Architecture & Big Data Engineering: Designs and implements scalable cloud-based data platforms using technologies like Hadoop, Spark, and modern ETL frameworks to support analytics and enterprise data processing.

Data Strategy & Enterprise Architecture: Establishes enterprise-wide data standards, governance, and compliance frameworks aligned with long-term technology strategy, leveraging tools such as Collibra.

Programming & Data Warehousing: Expert in Python and SQL, with extensive experience building and maintaining data warehouses in both cloud and on-prem environments.

Modern Data Architecture: Leads adoption of event-driven architectures, real-time data streaming technologies (e.g., Kafka, Pulsar), and AI-driven analytics solutions.

Data Engineering & Integration: Architects cloud-native solutions (e.g., GCP) and designs API-first integration using GraphQL, RESTful APIs, or Pub/Sub frameworks.

Pipeline Development & Optimization: Develops and maintains automated, enterprise-grade data pipelines using ETL/ELT processes, with a deep understanding of data modeling, pipeline efficiency, and real-time data ingestion.

Analytics Platform Integration: Experienced in integrating data into business intelligence tools like Tableau and Power BI to enable self-service analytics and data-driven decision-making.

Database Performance Optimization: Skilled in database indexing, partitioning, and storage strategies for relational and NoSQL systems such as PostgreSQL, MySQL, MongoDB, and Cassandra.

Technical Leadership & Innovation: Leads the design and evolution of data lakes, data warehouses, and cloud analytics platforms using tools like Databricks, Snowflake, BigQuery, or Redshift.

Cross-Functional Collaboration: Partners effectively with executive leaders, engineering, product, legal, and governance teams to align data initiatives with business priorities and compliance needs.

Mentorship & Team Development: Mentors engineers on technical tools and data domain knowledge, fostering a culture of continuous learning and technical excellence.

Communication & Influence: Clearly articulates complex technical concepts to diverse audiences and builds credibility across technical and non-technical stakeholders.

Customer-Centric Mindset: Champions data solutions that enhance the customer experience and operational efficiency, while thriving in cross-functional, fast-paced environments.

Who You Are

• Candidates with a Bachelor’s degree or equivalent work experience in a related field are encouraged to apply. 10+ years of experience in data architecture, data engineering, or related fields. 
• 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.
• Able to work a flexible schedule based on department and company needs.

What We Can Offer You

Join a team where work is as rewarding as it is fun! We offer a dynamic, inclusive environment with competitive pay and benefits. Enjoy comprehensive health and wellness coverage and a 401(k) match to invest in your future. Prioritize your well-being with paid time off and eight paid holidays. Grow your career with continuous learning and leadership development. Plus, build community by joining one of our Colleague Resource Groups and make a difference through our volunteer opportunities. 

Some additional benefits we offer include:

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

Access the full menu of benefits offerings here. 

About Us

This is a great time to join Macy’s! Whether you’re helping a customer find the perfect gift, streamlining operations in one of our distribution centers, enhancing our online shopping experience, buying in-style and on-trend merchandise to outfit our customers, or designing a balloon for the Thanksgiving Day Parade, we offer unique opportunities to be part of some of the most memorable moments in people’s lives. 

Join us and help write the next chapter in our story - apply today! 

This job description is not all-inclusive. Macy's, Inc. reserves the right to amend this job description at any time. Macy's, Inc. is an Equal Opportunity Employer, committed to a diverse and inclusive work environment.

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