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Lead Data Engineer, Customer Identity Analyticsbrobstongroup.com - Jobboard • Seattle, Washington, United States
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Lead Data Engineer, Customer Identity Analytics

brobstongroup.com - Jobboard
  • US
    Seattle, Washington, United States
  • US
    Seattle, Washington, United States
Apply Now

About

Summary Technical lead for the Customer Identity team responsible for setting technical direction and owning the lifecycle of the identity platform. This role is hands‑on with customer recognition systems, data quality analysis, and platform modernization while guiding a small team of engineers. The position is hybrid based in Seattle, WA and focuses on improving match accuracy and building reliable identity infrastructure.
Responsibilities
Own strategy to improve customer recognition accuracy through partner collaboration and data enrichment pilots
Collaborate with analytics and business stakeholders to support use cases like marketing measurement and personalization
Design and implement platform quality KPIs, match confidence scoring, and precision/recall metrics
Lead migration to a warehouse-native architecture (BigQuery + dbt) to reduce operational overhead
Mentor and develop engineers, set technical standards, and run design reviews
Build automated data quality checks and monitoring to prevent downstream regressions
Requirements
7+ years of experience in data engineering, applied data science, or ML with hands‑on work in entity resolution or customer identity systems at scale
Deep understanding of data matching concepts including blocking, match rules, confidence thresholds, and precision/recall tradeoffs
Production-quality SQL skills and experience with BigQuery or comparable cloud data warehouses
Hands‑on experience with dbt, Airflow or equivalent transformation/orchestration frameworks
Ability to frame ambiguous data quality problems as measurable experiments and communicate statistical concepts to stakeholders
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  • Seattle, Washington, United States

Languages

  • English
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