Senior Business Intelligence Engineer, Devices Demand Science Optimization

Amazon • Seattle, WA

10d • $130,400 - $176,300 • Onsite

About The Position

We're looking for a Senior Business Intelligence Engineer (BIE) to build AI-native data products for Amazon Devices. You'll architect the semantic and contextual layers that make our business data machine-readable, designing MCP servers, tool schemas, and retrieval pipelines that let AI agents reason over sales, inventory, and demand planning data autonomously. You'll also own the underlying core tables and pipelines that feed both human dashboards and agent workflows. This role sits at the intersection of data engineering, applied AI, and analytics product development. You'll define how machines understand and act on our business data, and scale that intelligence across multiple BI teams.

Requirements

• 10+ years of professional or military experience
• 7+ years of SQL, ETL or Oracle experience
• 7+ years of processing large, multi-dimensional datasets from multiple sources experience
• 5+ years of developing automated reporting experience
• Experience with AWS technologies
• Experience in scripting for automation (e.g. Python) and advanced SQL skills.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Knowledge of data warehousing and data modeling
• Experience working directly with business stakeholders to translate between data and business needs

Nice To Haves

• Experience managing, analyzing and communicating results to senior leadership
• Experience programming to extract, transform and clean large (multi-TB) data sets
• Experience with theory and practice of information retrieval, data science, machine learning and data mining

Responsibilities

• Architect and maintain production data pipelines (Iceberg, Redshift, Athena) that serve as the single source of truth for Devices sales, inventory, pricing, and demand planning metrics.
• Design and build MCP servers and semantic layers that expose core tables, metrics, and business logic to AI agents, including schema documentation, tool definitions, and retrieval-augmented context.
• Develop AI-powered automation for recurring business workflows: WBR narratives, flash reports, executive summaries, anomaly callouts, and forecast commentary using LLMs and agentic patterns.
• Build and maintain QuickSight dashboards for self-service analytics while progressively shifting routine queries to agent-driven interfaces.
• Implement data quality frameworks: automated validation, drift detection, monitoring, and alerting. Ensure reliability for both human consumers and AI systems.
• Design pipeline orchestration across multiple systems and schedules, optimizing for freshness, cost, and downstream dependency management.
• Partner with demand planning, forecasting, finance, and inventory teams to translate business requirements into well-scoped, AI-augmented data solutions.
• Evaluate and integrate emerging AI/ML capabilities (RAG, function calling, multi-agent systems) into the BI stack, establishing patterns other teams can adopt.

Benefits

• sign-on payments
• restricted stock units (RSUs)
• health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage)
• 401(k) matching
• paid time off
• parental leave

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed