Job DescriptionAs the Lead Data Engineer on the Customer Identity team, you will own the technical direction: hands-on with customer recognition systems and data quality analysis while also setting roadmap and strategy for the team. You’ll guide 4 engineers, with plans to grow the team as scope expands. You’ll own the full lifecycle of identity platform quality — from improving match accuracy to designing quality KPIs to modernizing our data platform architecture.
A day in the life...
- Own the strategy to improve customer recognition accuracy by working with upstream data partners, evaluating data enrichment approaches and piloting new techniques that help deliver more consistent and personalized experiences
- Collaborate with customer analytics leadership and business stakeholders to ensure the identity platform supports key use cases, from marketing measurement to customer lifetime value modeling to personalization
- Design and implement platform quality KPIs, match confidence scoring, precision/recall metrics, and reconciliation measures across identity methods to ensure accuracy and reliability
- Lead the migration of identity infrastructure from complex orchestration layers to a warehouse-native architecture (BigQuery + dbt), reducing operational overhead so the team can focus on analytical improvement
- Mentor and develop engineers on the customer analytics, setting technical standards, running design reviews, and providing direct feedback
- Maintain a high bar for data quality, testing, and monitoring, building automated checks that catch data quality regressions before they impact downstream reporting
You own this if you have...
- 7+ years of experience in data engineering, applied data science, or machine learning, with hands-on work in entity resolution, record linkage, or customer identity systems at scale
- Deep understanding of data matching concepts: match rules, blocking strategies, confidence thresholds, and precision/recall tradeoffs in customer data systems
- Production-quality SQL skills and fluency in BigQuery or a comparable cloud data warehouse, with hands-on experience in dbt, airflow or equivalent transformation frameworks
- Ability to frame ambiguous data quality problems as measurable experiments and communicate statistical concepts to business stakeholders
#LI-Hybrid
We’ve got you covered…
Our employees are our most important asset and that’s reflected in our benefits. Nordstrom is proud to offer a variety of benefits to support employees and their families, including:
Medical/Vision, Dental, Retirement and Paid Time Away
Life Insurance and Disability
Merchandise Discount and EAP Resources
A few more important points...
The job posting highlights the most critical responsibilities and requirements of the job. It’s not all-inclusive. There may be additional duties, responsibilities and qualifications for this job.
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.
$166,000.00 - $258,000.00 Annual
This position may be eligible for performance-based incentives/bonuses. Benefits include 401k, medical/vision/dental/life/disability insurance options, PTO accruals, Holidays, and more. Eligibility requirements may apply based on location, job level, classification, and length of employment. Learn more in the Nordstrom Benefits Overview by copying and pasting the following URL into your browser: https://careers.nordstrom.com/pdfs/Ben_Overview_17-19.pdf
