Job DescriptionBuild the Future of Google Cloud, Data, AI & Enterprise PlatformsSID Global Solutions is seeking a highly accomplished, hands-on
Principal Google Cloud Architect to lead architecture, design, engineering, and delivery of enterprise-scale cloud, data, AI, integration, and modernization solutions built on Google Cloud Platform (GCP).
We are looking for a senior technology leader with deep expertise across:
- Google Cloud Platform(GCP)
- Google Kubernetes Engine(GKE)
- Gemini Enterprise
- Vertex AI
- BigQuery
- Data Cloud
- Dataplex
- Apigee X / Apigee Hybrid
- Platform Engineering
- Cloud-NativeArchitecture
- Enterprise Architecture
- Generative AI (GenAI)
- Agentic AI
- Enterprise Integration
- ApplicationModernization
This role is ideal for someone who enjoys being deeply technical while also influencing architecture strategy, customer success, engineering excellence, and capability development.
What You'll DoGoogle Cloud Architecture & Engineering- Design and implemententerprise-scale Google Cloud Platform architectures.
- Architect highlyscalable, secure, cloud-native platforms using GKE, Cloud Run, Anthos, andmodern platform engineering practices.
- Lead cloud migration,modernization, multi-cloud, and hybrid-cloud transformation initiatives.
- Design enterpriselanding zones, governance frameworks, security architectures, andoperational models.
- Build reusable cloudaccelerators, reference architectures, implementation patterns, andautomation frameworks.
- Lead architecturereviews, technical governance forums, and technology strategy discussions.
Core GCP Technologies- Google Kubernetes Engine(GKE)
- Cloud Run
- Anthos
- Compute Engine
- Cloud Functions
- Cloud Storage
- VPC Networking
- IAM
- Cloud Operations
- Cloud Monitoring
- Cloud Logging
- Security Command Center
Data Cloud, Analytics & Modern Data PlatformsLead architecture and delivery of enterprise-scale data platforms using:
- BigQuery
- Dataplex
- Dataform
- Datastream
- Data Fusion
- Pub/Sub
- Apache Spark
- Data Lakes
- Data Warehouses
- Enterprise AnalyticsPlatforms
Responsibilities include:
- Enterprise DataArchitecture
- Data Governance
- Data PlatformEngineering
- Data Security
- Metadata Management
- Data Modernization
- AI-Ready DataArchitectures
- Master Data Management
AI, Gemini Enterprise & Vertex AIDesign and deliver GenAI, Agentic AI, and Enterprise AI platforms using:
- Gemini Enterprise
- Gemini
- Vertex AI
- Vertex AI Search
- Agent Development Kit(ADK)
- Agentic AI
- Generative AI
- AI Agents
- AI Copilots
- Multi-Agent Systems
- Enterprise Search
- Knowledge Platforms
Responsibilities include:
- Retrieval AugmentedGeneration (RAG)
- Enterprise SearchPlatforms
- AI Knowledge Systems
- AI Governance
- Responsible AI
- AI Security
- AI Observability
- AgentOps
- MLOps
- LLMOps
Apigee & Enterprise IntegrationLead API and integration architecture initiatives using:
- Apigee X
- Apigee Hybrid
- API Gateway
- API Security
- API Governance
- API Products
- API Monetization
- Developer Portals
Design and implement:
- Enterprise IntegrationPlatforms
- Event-DrivenArchitectures
- Service Mesh
- MicroservicesArchitectures
- Enterprise API Programs
- Enterprise IntegrationGovernance
Cloud Native Application ArchitectureDesign and modernize enterprise applications using:
Front-End- React
- Angular
- Next.js
- TypeScript
- JavaScript
Backend- Java
- Spring Boot
- Python
- FastAPI
- Node.js
- REST APIs
- GraphQL
Enterprise Platforms- SaaS Platforms
- Enterprise Portals
- Customer ExperiencePlatforms
- Workflow AutomationPlatforms
- Business ProcessAutomation Solutions
- Operational Platforms
Customer Consulting & Technical Leadership- Lead executivearchitecture workshops and cloud strategy engagements.
- Act as trusted advisorto CIOs, CTOs, Chief Architects, Platform Leaders, and EngineeringExecutives.
- Drive cloudtransformation, modernization, and AI adoption initiatives.
- Support strategiccustomer pursuits, solutioning, and proof-of-concepts.
- Present architecturestrategies and technology roadmaps to executive stakeholders.
Team Leadership & Capability Development- Mentor cloud architects,platform engineers, AI engineers, integration architects, and dataengineers.
- Establish architecturestandards, engineering best practices, and reusable patterns.
- Support hiring,mentoring, technical enablement, and certification programs.
- Contribute to SIDGlobal's Google Cloud, AI, Data, and Integration practice growth.
Required QualificationsProfessional Experience- 12+ years of softwareengineering, cloud engineering, solution architecture, or enterprisearchitecture experience.
- 7+ years architectingand delivering enterprise Google Cloud solutions.
- Proven success leadinglarge-scale cloud transformation programs.
- Strong customer-facingconsulting and architecture leadership experience.
Google Cloud Platform (GCP)Deep hands-on experience with:
- Google Cloud Platform(GCP)
- Google Kubernetes Engine(GKE)
- Anthos
- Cloud Run
- Cloud Functions
- Cloud Storage
- Cloud Operations
- IAM
- Security &Networking
- Platform Engineering
- Site ReliabilityEngineering (SRE)
Data & AnalyticsHands-on experience with:
- BigQuery
- Dataplex
- Dataform
- Datastream
- Data Fusion
- Pub/Sub
- Apache Spark
- Data Lakes
- Data Warehousing
- Data Governance
AI & Enterprise AI PlatformsExperience delivering solutions using:
