Macy's logo

Principal, Engineer - Architecture - Enterprise

Macy's

Johns Creek, GA
Full Time
Senior
10 days ago

Job Description

About the Role

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.

Key Responsibilities

  • 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.

Requirements

  • 10+ years of experience in data architecture, data engineering, or related fields.
  • Designs and implements scalable cloud-based data platforms using technologies like Hadoop, Spark, and modern ETL frameworks.
  • Establishes enterprise-wide data standards, governance, and compliance frameworks, leveraging tools such as Collibra.
  • Expert in Python and SQL, with extensive experience building and maintaining data warehouses in both cloud and on-prem environments.
  • Leads adoption of event-driven architectures, real-time data streaming technologies (e.g., Kafka, Pulsar), and AI-driven analytics solutions.
  • Architects cloud-native solutions (e.g., GCP) and designs API-first integration using GraphQL, RESTful APIs, or Pub/Sub frameworks.
  • 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.
  • Experienced in integrating data into business intelligence tools like Tableau and Power BI to enable self-service analytics.
  • Skilled in database indexing, partitioning, and storage strategies for relational and NoSQL systems such as PostgreSQL, MySQL, MongoDB, and Cassandra.
  • Leads the design and evolution of data lakes, data warehouses, and cloud analytics platforms using tools like Databricks, Snowflake, BigQuery, or Redshift.
  • Partners effectively with executive leaders, engineering, product, legal, and governance teams to align data initiatives with business priorities and compliance needs.
  • Mentors engineers on technical tools and data domain knowledge, fostering a culture of continuous learning and technical excellence.
  • Able to work a flexible schedule based on department and company needs.

Nice to Have

  • Experience with data governance tools such as Collibra.
  • Experience with AI-powered analytics solutions.
  • Familiarity with data streaming platforms like Pulsar.

Qualifications

  • Bachelor's degree or equivalent work experience in a related field.

Benefits & Perks

  • Competitive pay and benefits.
  • Comprehensive health and wellness coverage and a 401(k) match.
  • Paid time off and eight paid holidays.
  • Opportunities for continuous learning and leadership development.
  • Community building through Colleague Resource Groups and volunteer opportunities.
  • Merchandise discounts.
  • Performance-based incentives.
  • Annual merit review.
  • Employee Assistance Program with mental health counseling and legal/financial advice.
  • Tuition reimbursement.

Working at Macy's

Join us and help write the next chapter in our story - apply today! Macy's offers a dynamic, inclusive environment where work is as rewarding as it is fun. We are committed to a diverse and inclusive work environment and aim to foster authentic connections with colleagues, customers, and communities.

Apply Now

Job Details

Posted AtJul 16, 2025
Job CategoryData Engineering
SalaryCompetitive salary
Job TypeFull Time
ExperienceSenior

Job Skills

AI Insights

Key skills identified from this job posting

Sign upto access all insights for this job

About Macy's

Website

macys.com

Location

Johns Creek, GA

Industry

Department Stores

Get job alerts

Set up personalized alerts for your job search and get tailored job digests for close matches