Cloud Solution Architecture Mumbai · Full Time · Hybrid
About the Role This role contributes to the data and AI platform architectural transformation, realizing the vision of analytics and agentic AI across a multi-cloud landscape. The focus is on implementing a consistent and strong architecture capability across the D&A and AI ecosystem, with primary depth in GCP-native constructs. The role will drive the adoption journey of new technologies and collaborate with teams to implement cost-optimized technical designs. Success in this role means driving cloud migration initiatives, optimizing costs, and implementing solution architecture standards.
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 optimization at platform level across GCP and other cloud workloads
- Drive cloud migration initiatives at platform level, such as workload migration to GCP, platform consolidation, and catalog/governance migration
- Collaborate with DevOps/Platform Engineering teams to implement cost-optimized 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, modeling, reporting/presentation, and advanced analytical/AI components, considering performance, security, SLAs, and functionality
- Pilot different technical patterns, central reusable frameworks, and tech strategies across cloud platforms
- Ensure deep understanding of secure-by-design and zero-trust access management to satisfy legal and security requirements
- Work with global teams and technical and functional experts across cloud and platform domains
Requirements
- Have 5+ years of active work experience in Cloud Solution Architecture, with hands-on GCP experience and exposure to multi-cloud or cloud migration programs
- Possess extensive experience architecting at global scale for data, analytical, and/or AI platform solutions, primarily on GCP
- Have 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
- Have working knowledge of Azure equivalents (ADF, Synapse, ADLS) and Databricks (Unity Catalog) to operate effectively in a multi-cloud estate
- Demonstrate experience in cloud migration projects, such as on-prem to cloud, cross-cloud workload migration, and platform/catalog migration
- Have experience in performance tuning and cost optimization across GCP PaaS/IaaS components and other cloud platforms
- Have extensive experience in data platform projects using GCP-native tools (Dataflow, Cloud Storage, Composer) and exposure to equivalent tooling on other clouds
- Possess excellent programming skills in Python, Spark, SQL, or shell scripting
Good to Have
- Have exposure to BI/visualization tools, such as Power BI or Looker
- Exhibit a positive attitude to learning and exploration of new cloud and AI technologies
- Have ability to drive central implementations with diverse and global project teams
- Have project management skills, with the ability to influence and drive decisions and implement them across the landscape
- Have good communication skills
