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