Principal Cloud Architect

Posted Yesterday
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Hiring Remotely in New York, NY, USA
In-Office or Remote
158K-248K Annually
Expert/Leader
Big Data • Information Technology • Machine Learning • Sales • Software • Database • Generative AI
The go-to-market platform to find, acquire, and grow customers.
The Role
Design and prototype platform patterns, own domain-level architecture (cloud infra or data), enable engineering teams, run technology evaluations and POCs, expand standards/ADRs, and help shape multi-year platform and AI infrastructure strategy.
Summary Generated by Built In

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.

What You'll Do
  • 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).
  • Own a Domain Specialty: Provide architectural stewardship in one of our focus areas:
  • 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.
  • Define Technology Lifecycle: Evaluate emerging technologies through structured POCs, drive standards for onboarding and phase-out, and lead evaluations of vendor changes and consolidation opportunities. Partner with FinOps on cost optimization in your depth area, including emerging AI/model infrastructure spend (e.g., evaluating open-weight models as a lower-cost alternative to hosted APIs).
  • 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.
What We're Looking For
  • Broad Infrastructure Architecture Experience: Proven track record of setting technical direction across large-scale systems many teams depend on—cloud, networking, data, or delivery. Ability to defend architectural choices against real production workloads.
  • 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.
  • Depth in At Least One Domain (Nice to Have More):
  • Cloud Infrastructure: Cloud-native networking (AWS transit patterns, GCP shared VPCs, Private Service Connect, VPC peering); Kubernetes/container orchestration (GKE or equivalent) and service mesh (Istio) and mTLS; designing for scalability, resilience, and cost efficiency; ensuring infrastructure and network security.
  • Data Architecture: Messaging platforms (Kafka/Confluent, Pub/Sub); database technology fluency across SQL (PostgreSQL, Cloud SQL), NoSQL (MongoDB), columnar analytics (Snowflake, BigQuery), and search (Solr, Elasticsearch); pipeline design (Dataflow, Cloud Composer, MSK, Kinesis); open table formats (Apache Iceberg).
  • Development & Operational Depth: Ability to dive into code to prove out patterns and evaluate system behavior under load (incidents, on-call impact, capacity, rollout blast radius). Comfortable shipping working prototypes rather than relying solely on high-level diagrams.
  • Influence & Leadership: Strong technical leadership, writing, and presentation skills. Track record of driving standards adoption across engineering organizations without formal managerial authority—through documented rationale, prototypes, workshops, and review processes.
  • Technology Evaluation: Demonstrated ability to run rigorous technology evaluations—separating vendor pitch from architectural fit, running POCs, and producing actionable recommendations for engineering leaders.
  • AI Infrastructure Fluency: Working knowledge of the infrastructure demands of AI/ML workloads (model serving, vector databases, inference cost and latency trade-offs); able to weigh in on where AI fits into the platform’s technical roadmap.
Bonus Points
  • Depth in both Cloud Infrastructure and Data Infrastructure domains.
  • Experience with GCP organization-level policies, folder structure, and IAM inheritance design.
  • Confluent Platform knowledge beyond core Kafka (Schema Registry, Kafka Connect, ksqlDB).
  • Experience running or participating in an Architecture Review Council or equivalent governance body.
  • 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).
Education and Experience
  • Bachelor's degree in Computer Science, related technical field, or equivalent practical experience.
  • 10-15+ years of cloud infrastructure, platform, DevOps, or data architecture experience.

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.

In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here.

Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply.
$157,500$247,500 USD

About us: 

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.

ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements.

For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.

Skills Required

  • Bachelor's degree in Computer Science or related technical field or equivalent practical experience
  • 10-15+ years of cloud infrastructure, platform, DevOps, or data architecture experience
  • Proven track record setting technical direction across large-scale systems and defending architectural choices under production workloads
  • Production experience with GCP and/or AWS (multi-cloud)
  • Practical experience with Kubernetes (GKE or equivalent) as runtime foundation
  • Proficiency with Infrastructure as Code (Terraform) and GitOps workflows, including reusable modules
  • Ability to prototype, build reference implementations, write ADRs, and partner with teams to enable rollout
  • Strong technical leadership, writing, presentation skills, and ability to drive standards adoption without formal authority
  • Experience running rigorous technology evaluations and POCs to produce actionable recommendations
  • Working knowledge of AI/ML infrastructure demands (model serving, vector databases, inference cost/latency trade-offs)
  • Depth in at least one domain: Cloud Infrastructure Architecture OR Data Architecture
  • Depth in both Cloud Infrastructure and Data Infrastructure domains
  • Experience with GCP organization-level policies, folder structure, and IAM inheritance design
  • Confluent Platform experience beyond core Kafka (Schema Registry, Kafka Connect, ksqlDB)
  • Experience running or participating in an Architecture Review Council or equivalent governance body
  • Hands-on experience building or applying AI-augmented architecture review workflows (MCP servers, LLM-based rubric evaluation)
  • MLOps tooling experience (MLflow, Kubeflow, Vertex AI Pipelines, SageMaker)
  • Experience with cloud-native networking patterns (AWS transit, GCP shared VPCs, Private Service Connect)

ZoomInfo Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ZoomInfo and has not been reviewed or approved by ZoomInfo.

  • Healthcare Strength Benefits include comprehensive medical, dental, and vision coverage, plus mental health, transgender healthcare, wellness programs, gym reimbursement, and notable fertility assistance. Healthcare options are often described as competitive and a prominent strength of the total rewards.
  • Parental & Family Support Programs include generous parental leave, childcare assistance, Care.com access, and substantial adoption and surrogacy support. Family-forming benefits and leave policies indicate robust support for different life stages.
  • Leave & Time Off Breadth Salaried employees receive unlimited time off alongside paid holidays, flexible time off, wellness days, and bereavement leave. Unlimited PTO is described as genuinely usable in some roles and a meaningful component of the package.

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The Company
HQ: Vancouver, WA
3,500 Employees
Year Founded: 2007

What We Do

ZoomInfo is the go-to-market (GTM) platform for businesses development and revenue growth. Powered by real-time data and insights, our unified engagement platform helps sales and marketing teams find, acquire, and grow customers.

Why Work With Us

ZoomInfo is where the world’s brightest minds in Data and Go-To-Market come together to do their best work. We’re a founder-led organization that recognizes your success with 2x the career mobility of our SaaS peers. Being action-oriented, resourceful, and resilient will not only help you fit in, it will help you thrive.

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