Principal BI Engineer – Data-as-Product & Customer Insights

Socket.dev

Seattle (WA)

On-site

USD 155,000 - 210,000

Full time

8 days ago
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Job summary

Amazon's CXP data organization is seeking a Principal BI Engineer to shape how data drives customer insights and service at scale. You will architect data systems, govern data as a product, and guide cross-functional teams across science, product, and engineering.

Lead the data foundation for personalized support, ensure metric integrity, and design integration patterns that connect BI with GenAI and ML-powered automation. This role reports to senior leadership and mentors a team of BIEs.

Qualifications

  • 10+ years of BI and analytics experience.
  • Experience building analytic or scientific data products or solutions.
  • Experience defining measures and metrics and developing reporting solutions.
  • Experience coding in Python, R, MATLAB, or STATA.

Responsibilities

  • Define the customer and map the journey across channels (chat, voice, etc.).
  • Build data models and analytical frameworks for a unified customer view.
  • Own the data foundation for personalized support and interaction histories.
  • Architect the analytics data ecosystem, including data quality monitoring.
  • Operationalize data as a product with ownership, SLAs, and governance.
  • Drive metric integrity by standard definitions and data source reconciliation.
  • Lead cross-functional alignment with Science, Product, and Engineering teams.
  • Make high-stakes technical decisions on modeling trade-offs and cost/performance.
  • Mentor BIEs and communicate strategy to executives.

Skills

BI & Analytics experience
Data products development
Metric integrity
Python/R scripting
Big data systems

Education

Bachelor's degree in CS/Engineering/Math/Stats/Economics

Tools

Redshift
Hive
Spark
HBase
Yarn

Job description

Amazon's CXP data organization is seeking a Principal BI Engineer to shape how data drives customer insights and service at scale. You will architect data systems, govern data as a product, and guide cross-functional teams across science, product, and engineering.

Lead the data foundation for personalized support, ensure metric integrity, and design integration patterns that connect BI with GenAI and ML-powered automation. This role reports to senior leadership and mentors a team of BIEs.

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