Senior BI Engineer: AI-Driven Partner Analytics

Amazon Web Services (AWS); Seattle (WA); On-site; USD 130,000 - 176,000; Full time

Job summary

Amazon Web Services, Inc. in Seattle seeks a Senior Business Intelligence Engineer III to lead analytics strategy for the ASP organization, focusing on partner insights and analytics.

This role sits at the intersection of data engineering and AI, shaping systems that automate routine work and elevate strategic decisions. You will own the analytics architecture across data platforms, governance, and self-service products, ensure data trust, and guide AI-enabled interfaces.

Qualifications

• 5+ years of SQL experience.
• Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience architecting and owning end-to-end data platforms serving multiple downstream consumers.
• Experience with cloud-based data infrastructure (Redshift, Athena, Spark) including performance optimization and cost management.

Responsibilities

• Owns the architecture and technical roadmap for analytics systems—data platforms, governance layers, self-service products, and AI integration patterns.
• Designs scalable data platforms: pipeline orchestration, automated quality monitoring, schema management, and cost-aware infrastructure.
• Architects governance frameworks for data trust: lineage, freshness, validation pipelines, ownership models.
• Builds and owns automated analytics systems—report generation, KPI monitoring, anomaly detection, insight delivery.
• Defines the team's AI tooling strategy: evaluates frameworks, builds shared infrastructure, and integration templates.
• Drives cross-functional alignment on data product architecture; influences partner teams on integration patterns and API contracts.
• Makes technical decisions with broad impact: data modeling trade-offs, migration strategies, and cost/performance optimization.
• Applies advanced statistical and ML methods in production systems; designs experimentation frameworks.
• Mentors engineers and raises team capability across data engineering and AI/ML practices.

Skills

SQL

Python

AI/ML integration

Data governance

Tooling strategy

Automated analytics

Mentoring

Systems thinking

GTM analytics

Education

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

Tools

Redshift

Athena

Spark

Job description

Amazon Web Services, Inc. in Seattle seeks a Senior Business Intelligence Engineer III to lead analytics strategy for the ASP organization, focusing on partner insights and analytics.

This role sits at the intersection of data engineering and AI, shaping systems that automate routine work and elevate strategic decisions. You will own the analytics architecture across data platforms, governance, and self-service products, ensure data trust, and guide AI-enabled interfaces.