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

Job 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.

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

Qualifications

• 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
• BA/BS in Computer Science or closely related field, or equivalent practical experience

Preferred Qualifications

• 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

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.