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)
- Extensive experience in data platform projects using GCP-native tools (Dataflow, Cloud Storage, Composer) and exposure to equivalent tooling on other clouds
- Excellent programming skills in Python, Spark, SQL, or shell scripting
- Exposure to BI/visualization tools (e.g., Power BI, Looker) is a plus
- Exhibit a positive attitude to learning and exploration of new cloud and AI technologies
- Ability to drive central implementations with diverse and global project teams
- Project management skills — ability to influence and drive decisions and implement the same across the landscape
- Good communication skills
Pay: ₹1,000,000.00 - ₹3,000,000.00 per year
Benefits:
Work Location: Remote