Engineering Manager: Product & Vendor Insights - (Hybrid - Seattle, WA)

In the Data & Analytics Services org, our teams build and maintain the data infrastructure that powers product, vendor, and merchandising decisions across Nordstrom. We ensure that every product in our catalog - from typecodes to pricing to item availability - is represented accurately, governed rigorously, and delivered reliably to the systems and teams that depend on it. Our Product & Vendor Insights team owns the enterprise product data layer that makes this possible. Product data is the foundation of the Nordstrom shopping experience - and of the decisions made across merchandising, supply chain, personalization, and finance. When a style changes price, a new item enters the catalog, or a vendor relationship evolves, our pipelines are what make that change visible across the company. This team sits at the intersection of enterprise strategy and engineering precision - and the Engineering Manager will be its technical and people leader. Role Summary The Engineering Manager for Product & Vendor Insights owns one of the most consequential data domains in Nordstrom's enterprise: the product information layer that powers merchandising decisions, personalization, pricing analytics, vendor partner programs, and large-scale selling events and campaigns. This is a high-visibility role with a broad stakeholder footprint - spanning merchandising, machine learning, digital product, supply chain, compliance, and external partner teams. You will lead a team of approximately 8 engineers (a mix of full-time and contract), drive platform modernization initiatives including a transition to medallion architecture and manage a growing brand partner data program that delivers data feeds for an expanding portfolio of strategic partnerships. You will report to the Director of Merchandising, Customer, and Marketing Reporting & Data Engineering. A Day in the Life • Lead a team of engineers building and operating the event-driven pipelines and cloud data warehouse products that power product, pricing, vendor, and promotions data across Nordstrom • Own the enterprise product dimension layer - tens of millions of items across the full product hierarchy - consumed by machine learning, personalization, and downstream reporting teams • Drive the brand partner data program: engineering the data feeds that onboard and sustain external brand partners onto Nordstrom's platform • Deliver pricing and promotions data capabilities - pricing analytics, promotional event data, campaign-specific reporting views - in close partnership with merchandising and marketing stakeholders • Lead platform modernization: medallion architecture migration, observability and monitoring tooling, data governance, and cloud infrastructure across a portfolio of event consumer services • Partner with stakeholders across machine learning, digital product, compliance, partner programs, and supply chain to translate business requirements into scalable data products • Contribute to architecture and design decisions - this is a hands-on role with real technical depth expected • Recruit, develop, and retain engineering talent; provide direct feedback and coaching to help engineers grow • Promote DevOps best practices: CI/CD, infrastructure-as-code (Terraform), monitoring, alerting, and incident response You Own This If You Have • 5+ years of relevant software engineering experience, with strong foundations in event-driven systems, distributed data pipelines, or enterprise data products • 2+ years of experience managing engineering teams • Hands-on experience with messaging technologies and patterns - Kafka and/or Confluent Cloud strongly preferred • Proficiency with Java and/or Java Spring Boot for building microservice consumers • Experience building and operating data products in a cloud data warehouse (BigQuery, Snowflake, or similar) • Experience with cloud infrastructure (AWS and/or GCP) and infrastructure-as-code (Terraform) • Strong understanding of DevOps best practices including CI/CD, containerization (Docker/Kubernetes), monitoring, and production support • Proven ability to ship reliable, scalable systems with high data quality standards • BA/BS in Computer Science or closely related field, or equivalent practical experience We're Also Looking For… • Experience in retail, merchandising, supply chain, or vendor data domains\ • Familiarity with event sourcing patterns, schema registries, Confluent Cloud platform management, or Apache Flink • Experience delivering cloud data warehouse products - dimensional models, gold/silver layer tables, or similar patterns - at enterprise scale • Experience leading teams through infrastructure migrations, platform consolidations, or medallion/lakehouse architecture transitions • Track record of managing complex stakeholder relationships across business and engineering functions How We Work • With others: We use remote pairing and virtual collaboration tools to foster teamwork and collective problem-solving. • With transparency: We encourage open dialogue and discourage silos, promoting knowledge sharing across teams. • With agility: We focus on delivering incremental value and shipping frequently, avoiding unnecessary process overhead. • With open minds: We are committed to diversity, inclusion, and unique perspectives, building a stronger and more innovative company. • With pride: We invest in our people, applying our strengths and interests to drive both personal and organizational success. • Join us to lead the team that keeps Nordstrom's product data moving and make a lasting impact on how we serve our customers and vendor partners. We’ve got you covered… Benefits Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including: • Medical/Vision, Dental, Retirement and Paid Time Away • Life Insurance and Disability • Merchandise Discount and EAP Resources A few more important points... The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job. For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after conditional offer and consider qualified applicants with criminal histories in a manner consistent with legal requirements per Los Angeles, Cal. Muni. Code 189.04 and the San Francisco Fair Chance Ordinance. For additional state and location specific notices, please refer to the Legal Notices document within the FAQ section of the Nordstrom Careers site. Applicants with disabilities who require assistance or accommodation should contact the nearest Nordstrom location, which can be identified at www.nordstrom.com. Please be mindful that there may be legal notices and requirements related to this job posting that are specific to your state. Review the Career Site FAQ’s for relevant information and guidelines. © 2022 Nordstrom, Inc Current Nordstrom employees: To apply, log into Workday, click the Careers button and then click Find Jobs. Nordstrom keeps job postings open for at least one day after the posting date. Pay Range Details The pay range(s) below has been provided in compliance with state specific laws. Pay ranges may be different for other locations. Pay offers are dependent on the location, as well as job-related knowledge, skills, and experience. $166,000.00 - $258,000.00 Annual This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overvie