Engineering Manager, Product & Vendor Insights

Nordstrom

Hybrid

Quick summary

Work type
Hybrid
Location
Seattle, WA
Salary
$166,000–$258,000 / yr
Posted
6 days ago

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $193k
This role $212k
$133k most similar roles pay here $271k

This role pays more than 67% of similar roles. Most pay $156,907–$230,000 — the shaded band above. At the midpoint, this role pays about $212k versus about $193k for comparable roles.

Based on 239 similar postings.

Employer

About Nordstrom

Nordstrom is a leading American luxury department store chain offering a wide selection of clothing, shoes, accessories, and beauty products through its stores, Nordstrom Rack outlets, and online. Industry: Luxury Department Store Retail

Nordstrom currently has 37 open roles on FindRole.

Listed pay typically runs $142,000–$258,000 across 37 roles with salary data.

Most-posted roles

View all roles at Nordstrom

At a glance

TL;DR · Engineering Manager, Product & Vendor Insights

As an Engineering Manager at Nordstrom's Data & Analytics Services, you will lead a team of approximately 8 engineers responsible for building and maintaining the data infrastructure that powers product, vendor, and merchandising decisions. Your day-to-day involves managing event-driven pipelines and cloud data warehouse products, owning the enterprise product dimension layer, driving platform modernization initiatives like medallion architecture migration, and leading the brand partner data program. You will work closely with stakeholders across merchandising, machine learning, digital product, compliance, and supply chain to translate business requirements into scalable data products while ensuring DevOps best practices are followed. The ideal candidate has 5+ years of software engineering experience, including managing teams, hands-on expertise in event-driven systems like Kafka, proficiency with Java/Spring Boot, and experience with cloud infrastructure and Terraform.

What you'll do

  • Lead a team building and operating event-driven pipelines for product, pricing, vendor, and promotions data.
  • Own the enterprise product dimension layer consumed by machine learning and personalization teams.
  • Drive brand partner data program to onboard and sustain external partners onto Nordstrom's platform.
  • Deliver pricing analytics and promotional event data in partnership with merchandising stakeholders.
  • Lead platform modernization initiatives including migration to medallion architecture and observability tooling.
  • Recruit, develop, and retain engineering talent for the Product & Vendor Insights team.

What we're looking for

  • 5+ years of software engineering experience with event-driven systems, distributed data pipelines, or enterprise data products
  • 2+ years of experience managing engineering teams and driving platform modernization initiatives
  • Hands-on experience with messaging technologies like Kafka and Confluent Cloud
  • Proficiency in Java/Spring Boot for building microservice consumers and cloud infrastructure (AWS/GCP)
  • Strong understanding of DevOps practices including CI/CD, containerization, monitoring, and incident response
  • Experience building and operating data products in a cloud data warehouse environment

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