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AI Platform Data Engineer, Ring Agent Platform Org

Amazon.com Inc

  • Hawthorne, CA
  • 15 days ago
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    Skills

    • Amazon Web Services (AWS)unmatched
    • Analysis Skillsunmatched
    • Artificial Intelligence (AI)unmatched
    • Automationunmatched
    • Business Intelligenceunmatched
    • Business Servicesunmatched
    • Business Supportunmatched
    • Continuous Improvementunmatched
    • Customer Churnunmatched
    • Customer Relationsunmatched
    • Data Analysisunmatched
    • Data Managementunmatched
    • Data Modelingunmatched
    • Data Qualityunmatched
    • Data Scienceunmatched
    • Data Setsunmatched
    • Ecosystemsunmatched
    • Financeunmatched
    • Healthcareunmatched
    • Machine Toolunmatched
    • Metricsunmatched
    • Performance Analysisunmatched
    • Privacy Controlsunmatched
    • Requirements Managementunmatched
    • Scalable System Developmentunmatched
    • Software Developmentunmatched
    • Software Engineeringunmatched
    • Training Data Setsunmatched
    • Usability Engineeringunmatched
    • Use Casesunmatched

    Description

    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.

    Numbers & Facts

    LocationHawthorne, CA
    IndustryRetail
    Company Size10,000 employees or more
    Year Founded1994
    Websitehttp://Amazon.com/militaryroles

    About Company

    At Amazon, we don’t wait for the next big idea to present itself. We envision the shape of impossible things and then we boldly make them reality. So far, this mindset has helped us achieve some incredible things. Let’s build new systems, challenge the status quo, and design the world we want to live in. We believe the work you do here will be the best work of your life.

    Wherever you are in your career exploration, Amazon likely has an opportunity for you. Our research scientists and engineers shape the future of natural language understanding with Alexa. Fulfillment center associates around the globe send customer orders from our warehouses to doorsteps. Product managers set feature requirements, strategy, and marketing messages for brand new customer experiences. And as we grow, we’ll add jobs that haven’t been invented yet.

    It’s Always Day 1
    At Amazon, it’s always “Day 1.” Now, what does this mean and why does it matter? It means that our approach remains the same as it was on Amazon’s very first day – to make smart, fast decisions, stay nimble, invent, and stay focused on delighting our customers. In our 2016 shareholder letter, Amazon CEO Jeff Bezos shared his thoughts on how to keep up a Day 1 company mindset. “Staying in Day 1 requires you to experiment patiently, accept failures, plant seeds, protect saplings, and double down when you see customer delight,” he wrote. “A customer-obsessed culture best creates the conditions where all of that can happen.” You can read the full letter here

    Our Leadership Principles
    Our Leadership Principles help us keep a Day 1 mentality. They aren’t just a pretty inspirational wall hanging. Amazonians use them, every day, whether they’re discussing ideas for new projects, deciding on the best solution for a customer’s problem, or interviewing candidates. To read through our Leadership Principles from Customer Obsession to Bias for Action, visit https://www.amazon.jobs/principles

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