Senior BI Engineer AI-Driven Analytics Architect

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

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Job summary

AWS is seeking a Senior Business Intelligence Engineer III to lead analytics strategy for the Specialist Insights team focused on Data and AI. This role owns end-to-end analytics architecture, data platforms, governance, and self-service products, partnering with Data and AI Sales Operations leadership.

The ideal candidate has strong data engineering fundamentals, experience with AI/ML in production contexts, and can define standards, drive cross-team decisions, and mentor the team while

Qualifications

• 7+ years of experience as a Data Analyst, Data Engineer, BI Analyst, or a related occupation.
• Experience scripting for automation (e.g. Python) and advanced SQL skills.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• Experience architecting and owning end-to-end data platforms serving multiple downstream consumers.
• Track record of driving technical decisions with cross-team impact.

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 — especially as AI systems become consumers of the team's data.
• Builds and owns automated analytics systems — report generation, KPI monitoring, anomaly detection, insight delivery — designing for progressive automation where AI handles the routine and humans handle the exceptions.
• Defines the team's AI tooling strategy: evaluates frameworks, builds shared infrastructure (prompt libraries, evaluation patterns, integration templates), and establishes practices that help the whole team work effectively with AI.
• Drives cross-functional alignment on data product architecture; influences partner teams on integration patterns, API contracts, and standards for how data products interoperate across the ecosystem.
• Makes technical decisions with broad impact: data modeling trade-offs, build-vs-buy on capabilities, migration strategies from legacy systems, and cost/performance optimization across the stack.
• Applies advanced statistical and ML methods within production systems; ensures analytical rigor in automated outputs and designs experimentation frameworks that quantify business impact.
• Mentors and levels up the team on data engineering craft, system design, governance thinking, and practical AI/ML application — raising the bar for what the team can build and maintain.
• Communicates complex technical architecture and strategy to senior leadership; writes design documents that drive alignment, presents trade-offs clearly, and translates technical capability into business outcomes.

Skills

Data analysis

SQL

Python

Data engineering

BI analytics

Education

Bachelor's degree in a related field

Job description

AWS is seeking a Senior Business Intelligence Engineer III to lead analytics strategy for the Specialist Insights team focused on Data and AI. This role owns end-to-end analytics architecture, data platforms, governance, and self-service products, partnering with Data and AI Sales Operations leadership.

The ideal candidate has strong data engineering fundamentals, experience with AI/ML in production contexts, and can define standards, drive cross-team decisions, and mentor the team while