Senior BI Engineer: AI-Driven Analytics Platform

Amazon; Denver (CO); On-site; USD 130,000 - 176,000; Full time

Job summary

Amazon is seeking a Senior Business Intelligence Engineer III to lead the ASP partner analytics program. The role owns the analytics architecture, data platforms, governance, self-service products, and AI integration patterns for partner insights at scale.

You will drive data product design, cross-functional alignment, and experimentation in production systems, while mentoring engineers and shaping the team’s AI strategy.

Qualifications

• 5+ years of SQL experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• Experience scripting for automation (e.g. Python).
• 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 architecture and technical roadmap for the team's analytics systems — data platforms, governance layers, self-service products, and AI integration patterns.
• Designs scalable data platforms: orchestration, automated quality monitoring, schema management, and infrastructure for traditional BI and AI-native consumption.
• Architects governance frameworks for data trust at scale: lineage, freshness enforcement, validation pipelines, ownership models.
• Builds and owns automated analytics systems — reporting, KPI monitoring, anomaly detection, insight delivery with progressive automation.
• Defines the team's AI tooling strategy: evaluates frameworks, builds shared infrastructure, and establishes reusable patterns.

Skills

SQL

Python

Data platforms

Cloud data infra

Education

Bachelor's degree in CS/Eng/Math/Stats/Econ

Tools

Redshift

Athena

Spark

Job description

Amazon is seeking a Senior Business Intelligence Engineer III to lead the ASP partner analytics program. The role owns the analytics architecture, data platforms, governance, self-service products, and AI integration patterns for partner insights at scale.

You will drive data product design, cross-functional alignment, and experimentation in production systems, while mentoring engineers and shaping the team’s AI strategy.