About Kagool
Kagool is a fast-growing global IT consultancy specialising in data, analytics, cloud and digital transformation. We help organisations modernise complex data landscapes, migrate legacy platforms to the cloud and build scalable data and analytics solutions that deliver measurable business outcomes.
Our teams bring together technical, functional and industry expertise to solve complex transformation challenges for customers across multiple geographies. We provide a collaborative, flexible and supportive working environment where individuals are encouraged to take ownership, contribute ideas and grow their careers.

Role Overview
We are looking for an experienced Google Cloud Platform (GCP) Data Architect to lead the architecture, design, and implementation of enterprise-scale data platforms on Google Cloud. The ideal candidate will combine robust architectural leadership with deep technical expertise in modern data engineering and cloud-native services.
This role requires an individual who can confidently engage with client Enterprise Architects, Technology Leadership,



Security teams, and Delivery teams to define scalable, secure, and cost-effective solutions while ensuring successful implementation.
The successful candidate will be responsible for translating business and technical requirements into robust cloud architectures, driving architectural decisions, obtaining governance approvals, and providing technical leadership throughout the delivery lifecycle.

Key Responsibilities
Architecture & Solution Design
Design end-to-end enterprise data platform architectures on Google Cloud.
Define scalable, resilient, secure, and high-performing data architectures for analytical and operational workloads.
Lead architecture discussions with client Enterprise Architects and senior technical stakeholders.
Drive architectural decision-making and document architecture decisions and rationale.
Produce high-quality architecture deliverables including solution designs

📌 Senior GCP Data Architect (India)
🏢 Kagool
📍 India