Key job responsibilities - Design, build, and optimize data models and end-to-end data pipelines across APM's publisher data leveraging AWS services (such as Redshift, EMR, Airflow, Kinesis, Lambda) and internal Amazon tools - Implement and test data solutions within a unified modeling framework that serves both human analysts and AI-powered analytics tools - Measure and improve data quality across the datasets you own - investigating anomalies, troubleshooting pipeline issues, and ensuring reliability - Collaborate with business stakeholders to understand data requirements and translate them into trusted, well-modeled data products - Improve existing solutions and contribute to next-generation APM data architecture to improve scale, quality, timeliness, coverage, monitoring, and security - Work alongside other data engineers, business intelligence engineers, and scientists to support business decisions across APM A day in the life You'll build data products that feed both human analysts and AI-powered analytics agents, leverage LLMs and generative AI tools to accelerate your own development workflows, and help move the team from manual pipeline operations toward automated, self-healing data infrastructure. Driving long-term growth for our ad-supported media services requires striking a balance between providing an experience customers will love and creating products that advertisers want to buy (brand safe, relevant audience, etc.).