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Open nowPosted 112 days ago

Lead GCP Cloud Architect

KData Inc.30 open roles

Where
Toronto, Ontario, Canada
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Your applicationOpen nowLead GCP Cloud ArchitectKData Inc. · Toronto, Ontario, Canada

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Early applications get read.

11.9% of postings close within 7 days. Measured by our own scanner across the market.

Share of postings closed within
  1. 2.1%1 day
  2. 4.4%3 days
  3. 11.9%7 days
  4. 18.6%14 days
  5. 35.6%30 days
  6. 45.1%60 days
This job: posted 112 days ago

The posting

We are seeking a visionary and highly technical Lead GCP Architect to orchestrate, design, and oversee our enterprise cloud strategy. In this role, you will bridge the gap between complex business challenges and scalable, secure, and cost-effective Google Cloud solutions. As a technical leader, you will guide engineering teams, champion cloud-native best practices, and collaborate closely with executive stakeholders to align our technology roadmap with our long-term business goals. Key Responsibilities Architecture & Strategy Design & Blueprinting: Architect end-to-end cloud infrastructure, application architectures, and data pipelines on GCP utilizing the Google Cloud Well-Architected Framework. Technical Roadmap: Establish enterprise cloud guidelines, landing zones, and multi-cloud/hybrid-cloud topologies (e.g., using Anthos/GDC or interconnects). Legacy Modernization: Lead migration strategies (Lift-and-Shift, Re-platforming, and Refactoring) to transition legacy workloads into high-performing cloud-native solutions. Security, Governance & Compliance Identity & Access Control: Architect robust IAM structures, resource hierarchies, and organization policies across multiple organization units and VPC networks. Security Posture: Ensure implementations align with compliance standards (e.g., SOC2, GDPR, HIPAA) using GCP Security Command Center, Cloud KMS, and advanced network segmentation. Automation & Delivery Excellence Infrastructure as Code (IaC): Champion automated provisioning and configuration management using enterprise-grade Terraform, Ansible, or GitOps pipelines. CI/CD Integration: Partner with DevOps and engineering teams to design seamless containerized build-and-deploy workflows utilizing GKE (Google Kubernetes Engine), Artifact Registry, and Cloud Build. Leadership & Financial Management Mentorship: Lead and upskill a team of cloud engineers and solution architects, fostering a continuous learning culture. FinOps & Optimization: Implement rigorous systems to manage, monitor, and optimize GCP spend, establishing metrics for resource efficiency and cost accountability. Requirements Required Skills & Qualifications Technical Competencies Deep GCP Expertise: Mastery of core GCP services including Compute Engine, GKE, Cloud Functions, BigQuery, Vertex AI, Cloud Storage, and Cloud SQL/Spanner. Advanced Networking: Solid understanding of network security, hybrid connectivity (Cloud VPN, Dedicated Interconnect), Shared VPCs, and Cloud Load Balancing. Languages & Scripts: Proficiency in at least one programming/scripting language (e.g., Python, Go, Bash) to aid in automation and review code. Professional & Leadership Experience Experience: 10+ years of overall IT infrastructure/software experience, with at least 4+ years dedicated explicitly to designing and managing Google Cloud environments. Leadership Track Record: Proven experience leading technical delivery teams, managing executive-level stakeholder communication, and translating business metrics into technological designs. Education & Certifications Bachelor’s degree in Computer Science, Information Technology, Engineering, or equivalent practical experience. Required Certification: Google Cloud Certified Professional Cloud Architect. Preferred Certifications: Google Cloud Professional Cloud Security Engineer or Professional Data Engineer. Preferred Qualifications Hands-on experience deploying enterprise-level Generative AI / ML pipelines using Vertex AI. Strong domain knowledge in cloud-native data warehousing architectures and real-time streaming (Dataflow, Pub/Sub). Background in global systems integration or large-scale consulting environments.

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