Principal GCP Cloud Architect

About the role

SID Global Solutions is a premier AI-first digital transformation company, delivering intelligent full-stack solutions and services worldwide. We specialize in embedding AI across the enterprise to accelerate transformation, modernize technology, and unlock new revenue streams. Our core expertise spans AI-powered modernization, cloud and infrastructure solutions, application innovation, and advanced data analytics. As a leading Google Apigee implementation partner, we also bring you SAMi-Smart API Monetization Platform our flagship platform for API management. With a global footprint and 1000+ professionals, SID Global Solutions is committed to building a smarter, AI-driven future through innovation and impact. 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.

Responsibilities

• 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

  Work with: 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