ZoomInfo Technologies LLC: Principal Infrastructure Architect: Data Platform

About the role

Headquarters: Remote ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. As a Principal Infrastructure Architect on our Infrastructure Architecture team, you will be the architecture team's partner to ZoomInfo's data engineering organization. Data engineering owns the platforms and the products built on the

Requirements

• Influence and communication. You can present a recommendation, show its value, and back it with prototypes, benchmarks, and documented rationale. You've gotten patterns adopted across engineering orga
• Cloud infrastructure foundation. Production experience architecting on GCP and/or AWS beyond the data services: compute and Kubernetes (GKE or equivalent) as the runtime for data workloads, VPC networ
• Hands-on data infrastructure experience at scale. You've built and operated the infrastructure under data platforms at multi-terabyte to petabyte scale, with high throughput, high concurrency, and lat
• Depth in at least two data domains, fluency across the rest. Deep production experience in at least two of: streaming and stream processing (Kafka/Confluent, Flink); relational operational databases (
• Performance and cost engineering. You've diagnosed and fixed expensive or slow data workloads (query plans, storage layout, pipeline design, warehouse spend) and turned the fixes into reusable pattern
• Development and operational depth. You can dive into code to prove out a pattern and test behavior under load, and you'd rather ship a working prototype than a diagram.
• Technology evaluation. You've run rigorous evaluations that separate vendor pitch from architectural fit, and your recommendations have been used by engineering leaders and procurement.
• Supported a lakehouse or data mesh migration from the infrastructure side.