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Principal GCP Cloud Architect

SID Global Solutions
Posted a month ago, valid for 22 days
Location

Lionville, PA, US

Salary

Competitive

Contract type

Full Time

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About SIDGS:

SID Global Solutions is apremier AI-first digital transformation company, delivering intelligentfull-stack solutions and services worldwide. We specialize in embedding AIacross the enterprise to accelerate transformation, modernize technology, andunlock new revenue streams. Our core expertise spans AI-powered modernization,cloud and infrastructure solutions, application innovation, and advanced dataanalytics. As a leading Google Apigee implementation partner, we also bring youSAMi-Smart API Monetization Platform our flagship platform for API management.With a global footprint and 1000+ professionals, SID Global Solutions iscommitted to building a smarter, AI-driven future through innovation andimpact.

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, andmodernization solutions built on Google Cloud Platform (GCP).

We are looking for a senior technology leader with deepexpertise 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 deeplytechnical 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 dataplatforms 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 AIplatforms 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



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