Senior BI Engineer: AI-Driven Analytics Architect

Amazon Web Services (AWS); Seattle (WA); On-site; USD 100,000 - 160,000; Full time

Job summary

Amazon Web Services, Inc. is seeking a Senior Business Intelligence Engineer III to lead analytics strategy for the ASP organization, focused on Partner insights and analytics.

This role blends data engineering, AI, and system design to build scalable data platforms, governance, and self-service analytics with AI-powered capabilities. You will influence architecture decisions and mentor a growing team across data engineering and ML practices.

Qualifications

• 5+ years of SQL experience.
• Bachelor's degree in CS, Engineering, Math, Stats, Economics, or related field.
• Automation scripting experience (Python) and advanced SQL.
• Experience architecting end-to-end data platforms serving multiple downstream consumers.
• Experience with cloud-based data infrastructure (Redshift, Athena, Spark).

Responsibilities

• Owns the analytics architecture and roadmap for data platforms and AI integration.
• Designs scalable data platforms with orchestration and quality monitoring.
• Architects governance frameworks for data lineage, freshness, validation, ownership.
• Builds automated analytics systems for reporting, monitoring, and KPI tracking.
• Defines tooling strategy and standard practices for AI-enabled analytics.
• Mentors engineers and communicates architecture to leadership.

Skills

SQL

Python

Data modeling

Data platforms

Automation scripting

Education

Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics or related field

Tools

Redshift

Athena

Spark

Job description

Amazon Web Services, Inc. is seeking a Senior Business Intelligence Engineer III to lead analytics strategy for the ASP organization, focused on Partner insights and analytics.

This role blends data engineering, AI, and system design to build scalable data platforms, governance, and self-service analytics with AI-powered capabilities. You will influence architecture decisions and mentor a growing team across data engineering and ML practices.