Engineering Manager – Engineering Data Platform Enablement

Nordstrom

Engineering Manager leading data platform enablement at Nordstrom. Responsible for technical delivery, team health, and managing GCP and AWS workloads.

Posted 7/7/2026full-timeSeattle • Washington • 🇺🇸 United StatesSeniorLead💰 $166,000 - $258,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading engineering teams, driving platform reliability, and optimizing cloud costs across GCP and AWS. Proficient in Python and experienced in access management, data modeling, and governance practices.

Highest-signal resume keywords

Engineering Team LeadershipCloud Experience (GCP/AWS)Python ProficiencyAccess Management ProgramsCost Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonCloud Platform EngineeringData Systems DevelopmentCapacity PlanningLookML GovernanceIncident ResponseInfrastructure as CodeData ModelingDashboard Best PracticesAI Coding Tools

Soft Skills

People DevelopmentCollaborationCoachingTechnical DirectionCommunication

Tools & Technologies

BigQueryGCP LookerMetabaseAWSGitCI/CD

Industry Keywords

Platform ReliabilityAccess ProvisioningGovernanceCost ManagementIncident Management

Tech Stack

Tools & technologies

AWSBigQueryCloudGoogle Cloud PlatformPythonTableau

About the role

Key responsibilities & impact

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 — forecasting growth, managing compute costs, and scaling ahead of demand
Support the deprecation of legacy platforms (MicroStrategy, Tableau)
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
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
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
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

Requirements

What you’ll need

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

Benefits

Comp & perks

Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
Performance-based incentives/bonuses
401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more