Senior BI Engineer — AI & Data Platform Architect

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

Benefits offered by this job

Health insurance (medical, dental, vis

RSUs

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services, Inc. is seeking a Senior Business Intelligence Engineer III to lead analytics strategy for the Specialist Insights team, focusing on Data and AI.

You will own end-to-end analytics architecture, including data platforms, governance, and self-service products, and drive AI integration across the stack. The role requires deep data engineering fundamentals and production-level AI/ML experience, with influence on system design and cross-team collaboration.

Qualifications

• 7+ years in data analytics, data engineering, BI, or a related occupation.
• Proficient in Python scripting and advanced SQL.
• BS degree in CS/Engineering/Math/Statistics/Economics or related field.
• Experience architecting end-to-end data platforms.
• Track record of cross-team technical decisions.
• Experience integrating AI/ML into data platforms.
• Experience designing governance for data in automated systems.
• Experience building automated analytics systems.
• Strong systems thinking across data ecosystem.

Responsibilities

• Owns the architecture and technical roadmap for the team's analytics systems — data platforms, governance layers, self-service products, and the integration patterns that connect them to AI-powered downstream applications.
• Designs and drives implementation of scalable data platforms: pipeline orchestration, automated quality monitoring, schema management, and infrastructure that supports both traditional BI and AI-native consumption patterns.
• Architects governance frameworks that maintain data trust at scale: lineage, freshness enforcement, validation pipelines, ownership models, and content lifecycle practices.
• 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 establishes practices for AI collaboration.
• Drives cross-functional alignment on data product architecture; influences partner teams on integration patterns, API contracts, and standards.
• Makes technical decisions with broad impact: data modeling trade-offs, build-vs-buy, migration strategies, and cost/performance optimization.
• Applies advanced statistical and ML methods within production systems; designs experimentation frameworks.
• Mentors and levels up the team on data engineering craft, system design, governance thinking, and practical AI/ML application.
• Communicates complex technical architecture and strategy to senior leadership; writes design documents and presents trade-offs.

Skills

Data engineering fundamentals

Python

SQL

Cross-team collaboration

Education

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

Tools

Python

SQL

Job description

Amazon Web Services, Inc. is seeking a Senior Business Intelligence Engineer III to lead analytics strategy for the Specialist Insights team, focusing on Data and AI.

You will own end-to-end analytics architecture, including data platforms, governance, and self-service products, and drive AI integration across the stack. The role requires deep data engineering fundamentals and production-level AI/ML experience, with influence on system design and cross-team collaboration.