We are seeking an experienced GCP Data Architect to join the AMS & Development team of a leading multinational FMCG organization. This role is responsible for designing, governing, and evolving enterprise-scale data platforms on Google Cloud Platform (GCP) to enable scalable, high-performance analytics and data-driven decision-making.The ideal candidate will work in a cloud-first environment, leveraging GCP and hyperscaler technologies to build modern data lakehouse architectures, real-time analytics platforms, and AI-ready data ecosystems. The role combines strategic architecture, hands-on solution design, and production support leadership to ensure continuous innovation and operational excellence across enterprise data platforms.

Key Responsibilities

Enterprise Data Architecture
Define and implement enterprise data architecture aligned with business objectives.
Design scalable and secure architectures for:
Data Lakes
Data Warehouses
Lakehouse platforms
Batch and Real-Time Data Processing
Establish enterprise standards for:
Data Modeling
Data Integration
Data Governance
Data Quality
GCP Data Platform Architecture
Design and implement cloud-native data solutions using GCP services, including:
BigQuery
Cloud Storage
Dataflow
Dataproc
Pub/Sub
Cloud Composer
Build highly scalable, resilient, and high-performance data platforms.
Optimize GCP services for data ingestion, transformation, analytics, and reporting.
Data Pipeline & Integration
Design and oversee robust ETL/ELT pipelines for data ingestion from:
ERP Systems
CRM Applications
External and Third-Party Data Sources
Enable both batch and real-time streaming architectures.
Ensure:
Reliable orchestration
Pipeline monitoring
Error handling and recovery
Data quality validation
AMS & Production Support Leadership
Provide architectural governance for production data pla