Senior BI Engineer: AI-Driven Analytics Architect

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

Benefits offered by this job

Health insurance

RSUs

401(k) matching

Paid time off

Job summary

Amazon Web Services (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 sits at the intersection of data engineering and AI, building systems where automated processes handle the routine and human expertise targets exceptions.

You will own the end-to-end analytics architecture, set technical standards, and guide the team from traditional reporting toward AI-enabled, scalable insights.

Qualifications

• 7+ years of experience as a Data Analyst, Data Engineer, or BI Analyst
• Experience in 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

Python scripting

Advanced SQL

Data analysis

Education

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

Job description

Amazon Web Services (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 sits at the intersection of data engineering and AI, building systems where automated processes handle the routine and human expertise targets exceptions.

You will own the end-to-end analytics architecture, set technical standards, and guide the team from traditional reporting toward AI-enabled, scalable insights.