Google Cloud Platform Architect

  • Charlotte, NC
  • Posted 3 hours ago | Updated 3 hours ago

Overview

On Site
Hybrid
$70 - $80
Contract - Independent
Contract - W2
Contract - 12 Month(s)

Skills

GCPArchitect
GCP Architect
GoogleCloud
Google Cloud
CloudArchitect
Cloud Architect
GCPJobs
GCP Jobs
CloudComputing
Cloud Computing
CloudEngineering
Cloud Engineering
ArchitectRole
Architect Role
GoogleCloudPlatform
Google Cloud Platform
SeniorArchitect
Senior Architect
LeadArchitect

Job Details

Position Title: Google Cloud Platform Architect

Experience Required: 13+ Years

Location: Denver, CO - St Louis, MO Charlotte, NC (Onsite 3 days in any one of these locations)

Employment Type: Contract

Role Overview:

We are seeking an experienced Google Cloud Platform Architect with 13+ years of IT experience, including extensive hands-on expertise in Google Cloud Platform, cloud-native solution design, data platforms, and enterprise-scale architecture. The ideal candidate will drive end-to-end cloud strategy, design scalable systems, ensure operational excellence, and lead cloud transformation initiatives across cross-functional teams.

Key Responsibilities:

  • Cloud Architecture & Solution Design
  • Design, architect, and implement scalable, secure, and highly available solutions on Google Cloud Platform (Google Cloud Platform).
  • Define Cloud architecture standards, best practices, frameworks, and reference models.
  • Lead end-to-end solution design conversations covering compute, storage, networking, CI/CD, security, observability, and data layers.
  • Develop architecture diagrams, solution documents, and design specifications.

Google Cloud Platform Services & Expertise:

  • Extensive hands-on experience with key Google Cloud Platform services including:
  • Compute Engine, GKE, Cloud Run, App Engine
  • Cloud Storage, BigQuery, Cloud SQL, Spanner
  • Dataflow, Dataproc, Pub/Sub, Composer
  • Cloud Functions, IAM, VPC, Cloud Load Balancing
  • Optimize cloud resources for performance, scalability, governance, and cost efficiency.

Data & Application Modernization:

  • Architect large-scale distributed systems, data platforms, and modernization initiatives.
  • Lead migration of applications, databases, and workloads from on-prem or multi-cloud to Google Cloud Platform.
  • Enable cloud-native development using microservices, serverless, container orchestration, and DevOps tools.

Security, Governance & Compliance:

  • Implement Cloud IAM policies, security controls, network architecture, encryption, and compliance measures.
  • Ensure adherence to enterprise cloud governance, cost management, tagging, and resource standardization.

DevOps & Automation:

  • Build automated CI/CD pipelines using Cloud Build, Cloud Deploy, Jenkins, GitHub Actions, or similar.
  • Implement Infrastructure as Code using Terraform, Deployment Manager, or Ansible.
  • Drive automation and standardization across environment provisioning and deployment.

Leadership & Collaboration:

  • Serve as a trusted advisor to stakeholders, product teams, and client executives.
  • Lead technical teams, conduct design reviews, and mentor engineers and developers.

  • Collaborate with cross-functional teams (Data, Security, Networking, Product, QA) to drive digital transformation.

Required Qualifications:

  • 13+ years of IT experience with significant focus on cloud architecture, distributed systems, and solution design.
  • 5+ years of hands-on Google Cloud Platform experience in architecture, engineering, or platform leadership roles.
  • Strong expertise in infrastructure, networking, cloud security, and DevOps practices.
  • Proficiency in containerization (Docker), orchestration (Kubernetes/GKE), and serverless computing.
  • Strong knowledge of data engineering concepts, ETL, data pipelines, analytics, and real-time processing.
  • Experience with Terraform, CI/CD pipelines, GitOps principles.
  • Excellent communication, client interaction, and documentation skills.

Preferred Qualifications:

  • Google Cloud Professional Architect or similar Google Cloud Platform certifications.
  • Experience with multi-cloud or hybrid-cloud architectures (AWS/Azure).
  • Knowledge of AI/ML services on Google Cloud Platform (Vertex AI, BigQuery ML).
  • Experience leading large cloud transformation or modernization programs.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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