We are seeking a Platform Builder—a Data Engineer focused on developing platforms and scalable data solutions—with strong technical, analytical, communication, and stakeholder management skills. This role sits at the intersection of data engineering, business intelligence, and platform engineering—requiring partnership with software development engineers, scientists, data analysts, and business stakeholders across subscriptions and monitoring services. You will design, implement, and maintain platform features and curated datasets that power subscription lifecycle analytics, monitoring services performance, and self-service reporting, helping us deliver reliable subscriber experiences at greater velocity. This role requires a a thoughtful, fundamentals-driven approach to building robust, observable data infrastructure—from designing efficient pipelines and event-driven architectures, to leveraging automation (including AI-assisted tooling) to optimize code and workflows, to creating platforms that surface actionable insights on business health and service reliability. You will build scalable infrastructure, automate repetitive processes, and create systems that continuously enhance data quality, discoverability, and usability across our subscription and monitoring ecosystem. Key job responsibilities You will build and maintain efficient, scalable, and privacy/security-compliant data pipelines, curated datasets for AI/ML consumption, and AI-native self-service data platforms. As a trusted technical partner to business stakeholders and data science teams, you'll deliver well-modeled, easily discoverable data optimized for specific use cases while leveraging agentic frameworks to build continuously improving systems. A day in the life * Partner with stakeholders across Subscription, Finance, and Monitoring Service teams to gather requirements and deliver data solutions * Build and maintain curated datasets supporting agentic analysis of customer lifecycles, churn signals, and service health metrics * Develop and operate data pipelines using AWS services and internal Amazon tools, incorporating automation to improve efficiency * Contribute to self-service data platforms that enable stakeholders to access and to explore subscription and monitoring data * Implement data governance components including data classification, PII detection, and lineage tracking * Support working sessions that help stakeholders understand and adopt data capabilities collaboratively About the team The Agent Platform Organization is at the forefront of Ring's transformation into an AI-powered organization. We address cross-organizational data models, develop governance frameworks, provide direct Business Intelligence support across multiple teams, and build customer-facing and internal tools that fundamentally improve how effectively and quickly the organization makes decisions.