AI Platform Data Engineer, Ring Agent Platform Org

Amazon
Hawthorne, CA, USA2026-07-15ONSITE

About the job

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.

Responsibilities

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

Qualifications

Minimum

3+ years of data engineering experience

Experience with SQL

Experience with data modeling, warehousing and building ETL pipelines

Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets

Experience developing, deploying and managing AI products at scale

Preferred

Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions

Master's degree in computer science, engineering, analytics, mathematics, statistics, IT or equivalent

Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases)

Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages