GCP Solutions Architect We are looking for an experienced GCP Solutions Architect to design scalable, secure, integrated, and cost-effective cloud solutions across data, applications, integration, and AI/ML platforms.

Key Responsibilities - Design end-to-end solutions on GCP based on business and technical requirements.

- Strong experience with GCP Data Engineering services including BigQuery, Dataflow, Pub/Sub, Cloud Storage, Dataproc, Composer, and Dataform. Design enterprise applications and data integrations using APIs, Apigee, Pub/Sub, Cloud Run, Workflows, and event-driven architectures.
- Architect AI/ML and Generative AI solutions using Vertex AI, LLMs, RAG, embeddings, and vector search.
- Design secure, scalable, highly available, and resilient cloud architectures.
- Define integration with on-premises, third-party, SaaS, and enterprise applications.
- Ensure cloud cost optimization, FinOps, and TCO are considered in architecture decisions.
- Strong understanding of GCP networking, IAM, security, Kubernetes, Terraform, CI/CD, and monitoring.
- Create architecture diagrams, HLD/LLD,



technical designs, and architecture decision documents.
- Collaborate with data engineers, developers, DevOps, security, business, and product teams.

Required Skills - Strong hands-on GCP architecture experience - Data Engineering & Data Architecture - GCP Integration & API Architecture - Vertex AI / GenAI - Cloud security and networking - Microservices and event-driven architecture - Terraform / IaC and DevOps - Cloud cost optimization / FinOps - Solid communication and stakeholder management skills Experience - 8+ years of IT experience with significant experience in cloud architecture and GCP.

- Google Cloud certification, such as Professional Cloud Architect, is preferred.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

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