Senior BI Engineer: AI-Driven Analytics Platform Lead

Socket.dev; Seattle (WA); On-site; USD 130,000 - 176,000; Full time

Job summary

AWS Senior Business Intelligence Engineer III leads analytics strategy for the ASP organization, focusing on Partner insights and analytics. The role sits at the intersection of data engineering and AI, building scalable data platforms and governance.

You own end-to-end analytics architecture, establish technical standards, and drive evolution from traditional reporting toward AI-powered, scalable solutions.

Qualifications

• 5+ years of SQL experience.
• Bachelor's degree in relevant field (CS/Engineering/Math).
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience architecting 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 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 — design for progressive automation where AI handles routine and humans handle exceptions.
• Defines the team's AI tooling strategy: evaluates frameworks, builds shared infrastructure, and establishes practices that help the team work effectively with AI.
• Drives cross-functional alignment on data product architecture; influences partner teams on integration patterns, API contracts, and standards for interoperability.
• Makes technical decisions with broad impact: data modeling trade-offs, build-vs-buy decisions, migrations from legacy systems, cost/performance optimization.
• Applies advanced statistical and ML methods within production systems; designs experimentation frameworks that quantify business impact.
• Mentors engineers and raises team capability across data engineering and AI/ML practices; communicates architecture to leadership.

Skills

SQL

Python

Data engineering fundamentals

Education

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

Tools

Redshift

Athena

Spark

Job description

AWS Senior Business Intelligence Engineer III leads analytics strategy for the ASP organization, focusing on Partner insights and analytics. The role sits at the intersection of data engineering and AI, building scalable data platforms and governance.

You own end-to-end analytics architecture, establish technical standards, and drive evolution from traditional reporting toward AI-powered, scalable solutions.