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.

SKILLS YOU WILL NEED

Executive Stakeholder Management: Exceptional communication and interpersonal skills with a focus on proactively engaging executive stakeholders, understanding their challenges, and translating business needs into technical solutions.
Technical Acumen: Deep understanding of data engineering principles and best practices. Expertise in GCP cloud technologies (BigQuery, Dataflow, Dataproc, etc.), data pipelines, enterprise data warehousing, and large-scale data transformations.
Ownership Mentality: Takes full ownership and accountability for project success and the continuous improvement of data engineering processes and operating models.

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.

Leadership & Mentorship: Lead, inspire, and mentor a high-performing team of data engineers and architects. Foster a culture of collaboration, innovation, and continuous learning. Foster an environment of acceptance and respect that strengthens relationships, and ensures authentic connections with colleagues, customers, and communities
Data Strategy & Architecture: Define and implement a comprehensive data architecture strategy that aligns with Macy’s business objectives, supports advanced analytics initiatives, and ensures data quality, efficiency, and adherence to data standards.
Data Pipeline Development: Oversee the design, development, and optimization of robust and scalable data pipelines to ensure efficient data acquisition, processing, and delivery.
Data Quality: Collaborate with Data Governance teams to establish and enforce data quality standards, ensuring data integrity and compliance with security and privacy regulations.
Stakeholder Partnership: Build strong relationships with business stakeholders, Data Science teams, Business Intelligence teams, and technology partners to understand their data needs and deliver solutions that drive business value.
Technology Innovation: Stay abreast of emerging data technologies and trends, evaluating and recommending new tools and approaches to enhance Macy’s data capabilities.
Data Expertise & Advisory: Serve as a trusted advisor and subject matter expert on data architecture, engineering, and best practices for business leaders and technical teams.
Financial Management: Effectively manage team resources and budgets, ensuring alignment with departmental and organizational goals.