Principal Engineer , Quick – Structured Data Stack

We are looking for a Principal Engineer to own the full structured data stack powering agentic AI — from connectivity to query engines to the agents that operate across it all. This is a large, live production system serving millions of customers, not a greenfield build. You will provide full-stack technical leadership, balancing a major architectural transformation (agents replacing dashboards as the primary interface) with the stability and reliability that our existing customer base depends on. You will diagnose deep systemic problems, shape product direction, define multi-year technical strategy, and drive execution across teams — all while operating at a scale where correctness and performance directly determine customer trust. You will also drive the modernization of how the team builds software — advancing AI-native engineering practices including AI-assisted development, automated testing, and LLM-driven code generation.
This role requires a leader who thrives in ambiguity, can move fluidly between low-level system diagnosis and high-level architectural vision, and has a proven track record of evolving large-scale production systems without disrupting the customers who rely on them. You don’t just architect — you ship. We need someone who takes unscoped problems end-to-end, from defining the approach to landing production code.


About the team
Amazon Quick is AWS’s agentic AI platform — an AI teammate that helps enterprises work across data, documents, and workflows. Within Quick, Amazon QuickSight powers the structured data and business intelligence layer: the semantic models, query engine, and governed enterprise data that AI agents reason over. QuickSight provides unified intelligence across all enterprise data sources and bridges the critical last-mile gap between insights and action. With built-in agents for research and automation, users explore data conversationally, take actions directly from dashboards, and leverage 40+ application integrations — all while maintaining enterprise-grade security and governance.

Within Quick’s structured data stack, the Agentic Data organization is driving one of the most consequential shifts in how enterprises consume data: the transition from dashboards to AI agents. At the center of this transformation is the structured data stack — connectivity and connectors, query engine, semantic layer, and the agents that operate across every layer. This stack processes billions of queries per month for millions of active customers, and the architecture decisions made here determine how the next generation of users will interact with their data.