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Engineering Manager: Engineering Data Platform Enablement (Hybrid, Seattle - WA)

Job in Seattle, King County, Washington, 98127, USA
Listing for: Nordstrom
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    SRE/Site Reliability
Salary/Wage Range or Industry Benchmark: 166000 - 258000 USD Yearly USD 166000.00 258000.00 YEAR
Job Description & How to Apply Below
## Engineering Manager:
Engineering Data Platform Enablement (Hybrid, Seattle - WA)
Apply locations:
Seattle, WAtime type:
Full time posted on:
Posted Todayjob requisition :
R-854996##
** Job Description
**** About the Role
** Data Platform Enablement keeps Nordstrom's analytics and data platforms running, evolving, and getting simpler. We own a broad portfolio across GCP and AWS — Big Query, Looker Core, Metabase, and the access management and cost optimization that keep them healthy. We're a small team covering a large surface area, and AI is how we do it.

This is a
** player-coach role**. You own delivery, technical standards, operational health, and the growth of your engineers — and you stay hands-on, writing code and building automation alongside them. You partner with a Product Manager who owns vision and stakeholders, while you own technical delivery, architecture, and team health.

We use AI every day — not occasionally — to write code, automate operations, and investigate incidents. We run Kanban with continuous flow and weekly demos: no sprints, no story points. Our engineers are generalists who work across the whole portfolio, pair, cross-train, and value direct contribution over process.
** What You'll Own
**** Platform & Operations
*** Lead engineering delivery across Big Query/GCP, GCP Looker, Metabase, and AWS workloads
* Own platform reliability, incident response, and on-call for production systems
* Drive capacity planning — forecasting growth, managing compute costs, and scaling ahead of demand
* Support the deprecation of legacy platforms (Micro Strategy, Tableau)
** Access Management & Cost Optimization
*** Own enterprise access provisioning and governance across the data platform
* Lead cost optimization across GCP, AWS, and platform tooling in partnership with engineering and finance
* Define access policies, tiering models, and provisioning workflows with security and compliance partners
** Looker Governance & Development Framework
*** Establish LookML governance, development standards, and deployment practices for Looker Core
* Partner with analytics teams on explore design, data modeling, and dashboard best practices
* Own platform health, migration governance, and the Looker development lifecycle
** Conversational Analytics Enablement
*** Lead the CA enablement strategy — Golden Query standards, agent development, adoption
* Manage token utilization and capacity planning with Insights Delivery leadership
* Partner with every team across the organization to drive CA maturity enterprise-wide
** Team Leadership
*** Set technical direction: architecture, standards, monitoring, and prioritization
* Develop your engineers and coach AI fluency through hands-on guidance and a high adoption bar
* ** Contribute as an engineer**: write code, build tooling, and review pull requests alongside the team
* Own hiring, capacity planning, and team health
** What You Bring
**** Required
* ** 2+ years leading engineering teams, with direct accountability for delivery and people development
* 5+ years building software, platforms, infrastructure, or data systems
* ** Hands-on Python proficiency** (or equivalent) you still write today — direct technical contribution is expected
* Strong cloud experience across GCP and/or AWS, with fluency in Git, CI/CD, and infrastructure as code
* Experience owning access management programs at scale
* Daily use of AI coding tools and a real point of view on how they change the way teams work
** Bonus Points
*** Data platform or BI depth:
Big Query, Looker, Metabase, Tableau, or Micro Strategy
* Terraform and Kubernetes
* Cloud cost optimization at scale
* Analytics access provisioning in SailPoint Identity Now via SCIM group synchronization
* Hands-on Dataplex zone governance
* Experience standing up an AI-first engineering practice
* Familiarity with Conversational Analytics, LLM-powered data tools, or semantic layer patterns
* Experience at a large-scale retail, e-commerce, or consumer organization  
** 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…
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