Cloud Solution Architecture Basis our discussion with the client, there is an update to the JD I have shared earlier for Azure Data Architect role. Please ignore that JD and share some immediate joiner profiles for this requirement on priority as per below JD(-all must have skillset): This role will contribute to the data and AI platform architectural transformation to realise the vision of analytics and agentic AI across a multi-cloud landscape (GCP, Azure, Databricks) for a future-fit Organization. This role will focus on implementing a consistent and strong architecture capability across the D&A; and AI ecosystem, with primary depth in GCP-native constructs.

Experience: Minimum 5+ years of active work experience on Cloud Solution Architecture, with hands-on GCP experience and exposure to multi-cloud or cloud migration programs.

Job Summary

Drive the adoption journey of current technologies on GCP, with working knowledge of Azure and Databricks to support cross-cloud solutioning Drive cost optimisation at platform level across GCP (and other cloud) workloads Drive cloud migration initiatives at platform level (e.g., workload migration to GCP, platform consolidation, catalog/governance migration) Collaborate with DevOps/Platform Engineering teams to implement cost-optimised technical design of application and platform components Drive E2E solution design and support projects across different functional areas Understand, communicate,



articulate and implement solution architecture standards, best practices, performance enhancements and processes Integrate ETL, modelling, reporting/presentation and advanced analytical/AI components keeping performance, security, SLAs and functionality in mind Pilot different technical patterns, central reusable frameworks and tech strategies across cloud platforms Deep understanding of secure-by-design and zero-trust access management to satisfy legal and security requirements, with focus on technical impact including performance of the solution Exposure to global teams and ability to work with technical and functional experts across cloud and platform domains Key Requirements:

Extensive experience architecting at global scale for data, analytical, and/or AI platform solutions, primarily on GCP Hands-on experience with core GCP constructs: Compute Engine/GKE, Cloud Composer/Dataflow, Cloud Storage, Vertex AI, IAM, VPC/networking, and related GCP PaaS/IaaS services Working knowledge of Azure equivalents (ADF, Synapse, ADLS) and Databricks (Unity Catalog) to operate effectively in a multi-cloud estate Demonstrated experience in cloud migration projects (e.g., on-prem to cloud, cross-cloud workload migration, platform/catalog migration) * Performance tuning and cost optimisation across GCP PaaS/IaaS components (and other cloud platforms where applicable)

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