Engineering Manager: Engineering Data Platform Enablement (Hybrid, Seattle - WA)
Core
Lead engineering delivery and technical standards for Nordstrom's analytics and data platforms (GCP/AWS, BigQuery, Looker, Metabase) while driving AI adoption and team growth.
Role type
Engineering Manager (Player-Coach)
Builds
Production data platforms, access management systems, and conversational analytics tools for enterprise analytics teams.
Domain
Retail / Data Engineering & Cloud Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Engineering team leadership, Python development, Cloud architecture (GCP/AWS), Access management governance, AI coding tool fluency, Infrastructure as Code
Preferred skills
BigQuery/Looker/Metabase expertise, Terraform/Kubernetes, Cloud cost optimization, Conversational Analytics/LLM patterns, Large-scale retail experience
Technologies
GCP, AWS, BigQuery, Looker Core, Metabase, Python, Git, CI/CD, Terraform, Kubernetes, SailPoint IdentityNow
Responsibilities
Lead engineering delivery across BigQuery/GCP, GCP Looker, Metabase, and AWS workloads; Own platform reliability, incident response, and on-call for production systems; Drive capacity planning and compute cost management; Establish LookML governance and development standards; Lead conversational analytics enablement and agent development; Set technical direction and coach engineers on AI fluency; Contribute as an engineer by writing code and reviewing pull requests.
Seniority
Manager, hands-on IC leadership
