Prinicipal GCP Architect

SID Global Solutions; Exton (PA); On-site; USD 120,000 - 180,000; Full time

Job summary

SID Global Solutions is seeking a highly accomplished Principal Google Cloud Architect to lead architecture, design, engineering, and delivery of enterprise-scale cloud, data, AI, integration, and modernization solutions on Google Cloud Platform (GCP).

The role requires deep hands-on expertise in GCP technologies, data platforms, security architectures, and programmable automation, with responsibility for shaping cloud strategy, governance, and client success.

Qualifications

• 12+ years in software/enterprise architecture or cloud engineering
• 7+ years architecting Google Cloud solutions
• Proven experience leading large-scale cloud transformation
• Strong customer-facing architecture leadership

Responsibilities

• Design and implement enterprise-scale Google Cloud Platform architectures.
• Architect scalable, secure, cloud-native platforms using GKE, Cloud Run, Anthos.
• Lead cloud migration, modernization, multi-cloud and hybrid-cloud initiatives.
• Design enterprise landing zones, governance, security architectures and operating models.
• Build reusable cloud accelerators, reference architectures and automation patterns.
• Lead architecture reviews and technology strategy discussions.

Skills

Cloud architecture

GCP expertise

Data analytics

Security engineering

Team leadership

Education

Bachelor's degree or higher

Tools

GKE

Cloud Run

Anthos

Dataplex

BigQuery

Dataflow

Pub/Sub

Kubernetes

Terraform

Job description

• 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.

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).

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

We are looking for a senior technology leader with deep expertise across:

• BigQuery
• Data Cloud
• Dataplex
• Cloud‑Native Architecture
• Generative AI (GenAI)
• Agentic AI
• 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

• 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

• Anthos
• Compute Engine
• Cloud Functions
• VPC Networking
• IAM
• Cloud Operations
• 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
• Data Lakes
• Data Warehouses

Responsibilities include:

• Data Governance
• Data Security
• Metadata Management
• Data Modernization
• AI-Ready Data Architectures
• Master Data Management

Design and deliver GenAI, Agentic AI, and Enterprise AI platforms using:

• Gemini
• Agentic AI
• Generative AI
• AI Agents
• Multi‑Agent Systems
• 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

Lead API and integration architecture initiatives using:

• API Gateway
• API Security
• API Governance
• API Products

Design and implement:

• Service Mesh

Design and modernize enterprise applications using:

Front‑End

• React
• Angular
• Next.js
• TypeScript
• Java
• Spring Boot
• Python
• FastAPI
• Node.js
• REST APIs
• GraphQL
• SaaS Platforms
• 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.

Deep hands‑on experience with:

• Anthos
• Cloud Functions
• Cloud Operations
• IAM
• Security & Networking
• Site Reliability Engineering (SRE)

Data & Analytics

Hands‑on experience with:

• BigQuery
• Dataplex
• Dataform
• Datastream
• Data Fusion
• Pub/Sub
• Data Lakes
• Data Warehousing
• Data Governance
• Gemini
• RAG
• Agentic AI
• Multi‑Agent Systems
• AI Assistants
• Responsible AI

Deep hands‑on expertise with:

• API Management
• API Governance
• API Security
• Microservices

Experience with:

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

Strong understanding of:

• Security Architecture
• Application Modernization
• Digital Transformation

Preferred Qualifications

Certifications

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

Industry Experience

• Banking
• Insurance
• Public Sector
• Government
• Retail
• Manufacturing
• Telecommunications

Additional Expertise

• 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.