Position Overview :

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.

Key Responsibilities :

- 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

Requirements :

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

- 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)

- Demonstrated experience in cloud migration projects

- Performance tuning and cost optimisation across GCP PaaS/IaaS components

- Excellent programming skills in Python, Spark, SQL, or shell scripting

- Exposure to BI/visualization tools (e.g., Power BI, Looker) is a plus

- Ability to drive central implementations with diverse and global project teams

- Project management skills ability to influence and drive decisions