Prinicipal GCP Architect

Hi Jack,

Hope you are doing good.

Please work on the below requirement and do let me know if you any challenges.

• Budget: $120K–$180K. We can go slightly higher for an exceptional candidate.
• Work Location: Exton, PA
• Work Arrangement: Onsite is mandatory
• Relocation: Relocation to Exton is mandatory
• Visa: H1B transfers can be considered.
• 1099 / C2H: Only exceptional candidates can be considered for 1099 or a 3-month C2H arrangement.

Principal Google Cloud Architect | GKE, Gemini Enterprise, Vertex AI, Apigee, Data Cloud & Enterprise Platforms

📍 Location: Exton, PA (Onsite)

💼 Employment Type: Full-Time

🏢 Company: SID Global Solutions

Build the Future of Google Cloud, Data, AI & Enterprise Platforms

SID 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-Native Architecture
• Enterprise Architecture
• Generative AI (GenAI)
• Agentic AI
• Enterprise Integration
• Application Modernization

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 Do

Google Cloud Architecture & Engineering

• Design and implement enterprise-scale Google Cloud Platform architectures.
• Architect highly scalable, secure, cloud-native platforms using GKE, Cloud Run, Anthos, and modern platform engineering practices.
• Lead cloud migration, modernization, multi-cloud, and hybrid-cloud transformation initiatives.
• Design enterprise landing zones, governance frameworks, security architectures, and operational models.
• Build reusable cloud accelerators, reference architectures, implementation patterns, and automation frameworks.
• Lead architecture reviews, 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 Platforms

Lead architecture and delivery of enterprise-scale data platforms using:

• BigQuery
• Dataplex
• Dataform
• Datastream
• Data Fusion
• Pub/Sub
• Apache Spark
• Data Lakes
• Data Warehouses
• Enterprise Analytics Platforms

Responsibilities include:

• Enterprise Data Architecture
• Data Governance
• Data Platform Engineering
• Data Security
• Metadata Management
• Data Modernization
• AI-Ready Data Architectures
• Master Data Management

AI, Gemini Enterprise & Vertex AI

Design 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 Augmented Generation (RAG)
• Enterprise Search Platforms
• AI Knowledge Systems
• AI Governance
• Responsible AI
• AI Security
• AI Observability
• AgentOps
• MLOps
• LLMOps

Apigee & Enterprise Integration

Lead 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 Integration Platforms
• Event-Driven Architectures
• Service Mesh
• Microservices Architectures
• Enterprise API Programs
• Enterprise Integration Governance

Cloud Native Application Architecture

Design 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 Experience Platforms
• Workflow Automation Platforms
• Business Process Automation Solutions
• Operational Platforms

Customer Consulting & Technical Leadership

• Lead executive architecture workshops and cloud strategy engagements.
• Act as trusted advisor to CIOs, CTOs, Chief Architects, Platform Leaders, and Engineering Executives.
• Drive cloud transformation, modernization, and AI adoption initiatives.
• Support strategic customer pursuits, solutioning, and proof-of-concepts.
• Present architecture strategies and technology roadmaps to executive stakeholders.

Team Leadership & Capability Development

• Mentor cloud architects, platform engineers, AI engineers, integration architects, and data engineers.
• Establish architecture standards, engineering best practices, and reusable patterns.
• Support hiring, mentoring, technical enablement, and certification programs.
• Contribute to SID Global's Google Cloud, AI, Data, and Integration practice growth.

Required Qualifications

Professional Experience

• 12+ years of software engineering, cloud engineering, solution architecture, or enterprise architecture experience.
• 7+ years architecting and delivering enterprise Google Cloud solutions.
• Proven success leading large-scale cloud transformation programs.
• Strong customer-facing consulting 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 Reliability Engineering (SRE)

Data & Analytics

Hands-on experience with:

• BigQuery
• Dataplex
• Dataform
• Datastream
• Data Fusion
• Pub/Sub
• Apache Spark
• Data Lakes
• Data Warehousing
• Data Governance

AI & Enterprise AI Platforms

Experience delivering solutions using:

• Gemini Enterprise
• Gemini
• Vertex AI
• Agent Development Kit (ADK)
• RAG
• Agentic AI
• Multi-Agent Systems
• Enterprise Search
• AI Assistants
• AI Copilots
• Enterprise AI Platforms
• Responsible AI

Apigee & Integration

Deep hands-on expertise with:

• Apigee X
• Apigee Hybrid
• API Management
• API Governance
• API Security
• Event-Driven Architecture
• Microservices
• Enterprise Integration Patterns

Platform Engineering & DevOps

Experience with:

• Kubernetes
• Docker
• Terraform
• Infrastructure as Code
• CI/CD
• DevSecOps
• Observability
• Reliability Engineering
• Cloud Automation

Enterprise Architecture

Strong understanding of:

• Enterprise Architecture
• Cloud Architecture
• Data Architecture
• Integration Architecture
• Security Architecture
• AI Architecture
• Application Modernization
• Digital Transformation

Preferred Qualifications

Certifications

• Google Cloud Professional Cloud Architect
• Google Cloud Professional Data Engineer
• Google Cloud AI Engineer
• Apigee Certifications
• TOGAF
• Kubernetes Certifications (CKA/CKAD)

Industry Experience

Experience delivering solutions in:

• Banking
• Financial Services
• Insurance
• Healthcare
• Public Sector
• Government
• Retail
• Manufacturing
• Telecommunications

Additional Expertise

• Vertex AI Agent Builder
• Enterprise Search Solutions
• AI Governance Platforms
• Data Mesh
• Data Cloud
• Google Partner Ecosystem
• Enterprise AI Solutions

What Success Looks Like

• Architect enterprise-scale GCP, Data Cloud, Vertex AI, Gemini Enterprise, and Apigee solutions
• Lead cloud modernization and enterprise transformation initiatives
• Build reusable architecture frameworks, accelerators, and reference architectures
• Establish engineering and architecture standards across cloud, integration, data, and AI platforms
• Serve as a trusted advisor to customers and executive stakeholders
• Mentor and grow high-performing cloud, AI, data, and integration teams
• Help strengthen SID Global's reputation as a leader in Google Cloud, AI, Data, and Enterprise Architecture

Technical Environment (ATS Keywords)

Google Cloud Platform (GCP), Google Kubernetes Engine (GKE), Anthos, Vertex AI, Gemini Enterprise, Gemini, BigQuery, Dataplex, Dataform, Datastream, Data Fusion, Pub/Sub, Cloud Run, Cloud Functions, Cloud Storage, VPC, IAM, Site Reliability Engineering (SRE), Platform Engineering, Kubernetes, Docker, Terraform, Infrastructure as Code, CI/CD, DevSecOps, Apigee X, Apigee Hybrid, API Management, API Governance, API Security, Enterprise Integration, Event-Driven Architecture, Microservices, Data Cloud, Data Lake, Data Warehouse, Data Governance, Generative AI, GenAI, Agentic AI, AI Agents, Multi-Agent Systems, AI Copilots, Vertex AI Search, Retrieval Augmented Generation (RAG), Enterprise Search, AgentOps, MLOps, LLMOps, Enterprise Architecture, Cloud Architecture, Digital Transformation, Application Modernization, Cloud Migration, Customer Experience Platforms, Workflow Automation, Intelligent Automation.

Regards

Durga

484-377-2875

durgavanig@sidgs.com