Senior BI Engineer - AI-Driven Analytics Architect

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

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon Web Services (AWS) seeks a Senior BI Engineer to lead analytics strategy for the Specialist Insights team, bridging data engineering and AI. You will own end-to-end analytics architecture, data platforms, governance, and self-service products while shaping how AI capabilities plug into the stack.

The ideal candidate has deep data engineering fundamentals, production-ready ML experience, and the ability to influence architecture and strategy across teams.

Qualifications

• 4+ years of SQL, ETL or Oracle experience.
• 4+ years of processing large, multi-dimensional datasets from multiple sources experience.
• 4+ years of developing automated reporting experience.
• Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field.
• Experience with data visualization using Tableau, Quicksight, or similar tools.

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

SQL

ETL

Oracle

Data visualization

Education

Bachelor's degree in Computer Science/Engineering/Math/Statistics/Economics or related field

Tools

Tableau

Quicksight

Python

Job description

Amazon Web Services (AWS) seeks a Senior BI Engineer to lead analytics strategy for the Specialist Insights team, bridging data engineering and AI. You will own end-to-end analytics architecture, data platforms, governance, and self-service products while shaping how AI capabilities plug into the stack.

The ideal candidate has deep data engineering fundamentals, production-ready ML experience, and the ability to influence architecture and strategy across teams.