Azure Developer

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 new 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)