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

Job Description 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. 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 high‑visibility role has a broad stakeholder footprint spanning merchandising, machine learning, digital product, supply chain, compliance, and external partner teams. You will lead a team of approximately eight 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. At least 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 a 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. Pay Range Details $166,000.00 – $258,000.00 Annual Benefits Medical/Vision, Dental, Retirement and Paid Time Away Life Insurance and Disability Merchandise Discount and Employee Assistance Program (EAP) Resources This position may be eligible for performance‑based incentives or bonuses. Benefits also include 401(k), 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 ( Legal Notices and EEO Statements For Los Angeles or San Francisco applicants: Nordstrom is required to inform you that we conduct background checks after a 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, 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. 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. #J-18808-Ljbffr Nordstrom