Description

We are building something transformational - a greenfield, enterprise-grade data and insights platform that will redefine how automobile dealers, OEMs, and third-party partners engage with Amazon Autos.

This is a foundational tech lead opportunity to architect and own the systems that power data-driven decision-making for thousands of dealers and partners across multiple marketplaces. Our seller and partner ecosystem - spanning dealer groups, OEMs, and 3P integrations - depends on real-time, actionable intelligence to optimize inventory, pricing, engagement, and sales performance. You will be the technical cornerstone of the platform that delivers this intelligence at scale.

We are looking for a talented senior engineer with a tech lead mindset: someone who raises the bar on system design, drives architectural decisions across teams, and builds platforms that outlast any single feature. You will work at the intersection of data engineering, AI/ML, and product - owning the full lifecycle from architecture to production.

What You Will Build
- AI-powered data platforms that serve ML models and surface predictive insights to dealers and partners
- Intelligent agents that democratize data access, enabling non-technical stakeholders to query and act on complex datasets
- Next-generation pipelines that leverage AI agents to write, optimize, and validate code - accelerating development velocity while maintaining engineering rigor
- This platform will process massive volumes of transactional, behavioral, and market data, transforming raw signals into insights that directly influence revenue streams.

What Makes This Role Unique
This is a rare greenfield opportunity to be the founding technical architect of a platform that will serve as the data backbone for Amazon Autos' seller and partner ecosystem. You won't just leverage AI tools - you'll build the next generation of AI-enabled data platforms, working at the forefront of AI-powered data engineering within a team that has already driven AI adoption to over 90% among its software builders.

Key job responsibilities
- Platform Architecture: Architect and own the end-to-end design of a full-stack data platform - from data ingestion and transformation pipelines to API delivery and front-end consumption layers.
- Technical Standards: Define and enforce technical standards across the team, including design patterns, data modeling best practices, API contracts, reliability, and scalability principles.
- Cross-Functional Leadership: Lead cross-functional technical initiatives, aligning engineering, product, data science, and partner teams around a unified data strategy.
- AI-Powered Engineering: Build AI-powered data platforms that serve ML models and deploy intelligent agents that democratize data access for non-technical stakeholders.
- Data Pipeline Design: Design and implement large-scale ETL/ELT pipelines using AWS-native and big data technologies, ensuring data freshness, accuracy, and lineage.
- Partner API Strategy: Drive the API strategy for external partner integrations — enabling OEMs, dealer groups, and 3P systems to consume standardized, real-time data feeds.
- Engineering Excellence: Lead design reviews, define code quality standards, own CI/CD pipelines, and champion automated testing and observability.
- Mentorship: Mentor and grow engineers on the team - conducting design reviews, providing technical guidance, and elevating the overall engineering bar.
- Business Translation: Partner with product and business stakeholders to translate ambiguous business problems into well-scoped, high-impact technical solutions.
- Operational Excellence: Define SLAs, build monitoring and alerting, and lead incident response for production systems.

A day in the life
You start your morning reviewing a design proposal from a junior engineer - you provide structured feedback that sharpens the data model and catches a scalability risk before it reaches production. By midday, you're in a cross-team sync with the OEM integrations team, aligning on the API contract for a new real-time inventory feed. In the afternoon, you're deep in architecture work - designing the next generation of the dealer analytics pipeline that will reduce data latency from hours to minutes. You close the day reviewing a pull request and unblocking a teammate on a tricky ETL edge case. Every day, your decisions shape the platform that hundreds of dealers and partners rely on to run their business on Amazon.

About the team
We are transforming Amazon Autos' data infrastructure into a global, enterprise-grade data service. Our initiative builds a scalable API layer serving OEMs, dealer groups, and internal teams through standardized automated reports and real-time integrations.

This role involves working with massive datasets and running analysis to understand customer behavior for Amazon Autos, collaborating with product managers, designers, and engineers to create automotive shopping experiences that delight customers. Our vision is to create automotive discovery and shopping experiences on Amazon that provide customers with greater convenience and selection.