Principal Cloud Architect
ZoomInfo - United States
Hiring: Principal Cloud Architect Company: ZoomInfo Location: United States Job Posted Time: 2026-09-16 15:02:32 Target Skills & Keywords : AWS, BigQuery, Elasticsearch, GCP, GitOps, IAM, Iceberg, Infrastructure as Code, Istio, Kafka, Kinesis, Kubeflow, Kubernetes, LLM, MLOps, MLflow, MongoDB, PostgreSQL, Pub/Sub, R, SQL, SageMaker, Service Mesh, Snowflake, Solr, Terraform, VPC, Vertex AI About the job Experience: •10-15+ years of cloud infrastructure, platform, DevOps, or data architecture experience. •In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. •ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. •ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. •ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. Required Skills: •Prototype and Hand Off: Design platform patterns end-to-end—build reference implementations, document the rationale, and partner with implementation teams to roll them out. Stay hands-on through proof-of-concept and initial enablement, writing reference implementations and opening PRs to jumpstart team adoption. •Participate in Architecture Review: Bring a consistent, documented rubric to weekly architecture reviews so teams get reliable guidance. Expand our standards library and Architecture Decision Records (ADRs). •Cloud Infrastructure Architecture: Own the architecture for our cloud runtime, networking, service mesh, container platforms, and overall infrastructure scalability, resilience, and security. •Data Architecture: Own event streaming/messaging, database technology strategy, pipeline patterns, warehouse, and lakehouse strategies. •Enable R&D Teams: Host design reviews and workshops. Serve as a technical consultant to engineering teams making complex infrastructure choices. Make patterns consumable and self-service so teams don't reinvent the wheel. •Shape Multi-Year Strategy: Contribute to the multi-year platform direction—developer experience, delivery pipelines, and AI-augmented architecture review tooling (e.g., MCP servers, LLM-based rubric evaluation)—in partnership with platform engineering teams. •Multi-Cloud & Kubernetes Fluency: Production experience with GCP and/or AWS, paired with solid understanding of trade-offs. Practical experience with Kubernetes (GKE or equivalent) as the runtime foundation for modern workloads. •Infrastructure as Code: Strong proficiency in Terraform, GitOps workflows, and designing/reviewing reusable modules that other teams depend on. Qualifications: •Depth in both Cloud Infrastructure and Data Infrastructure domains. •Confluent Platform knowledge beyond core Kafka (Schema Registry, Kafka Connect, ksqlDB). •Hands-on experience building or applying AI-augmented architecture review workflows (e.g., MCP servers, LLM-based rubric evaluation). •MLOps tooling experience (e.g., MLflow, Kubeflow, Vertex AI Pipelines, SageMaker). •Bachelor's degree in Computer Science, related technical field, or equivalent practical experience. Compensation: •$157,500 - $247,500 / year •Competitive benefits and rewards package •Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. •Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!