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 up-to-date 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 platforms.
- Lead and support:
- Production incident resolution
- Root Cause Analysis (RCA)
- Data pipeline troubleshooting
- Ensure:
- High availability
- Platform resilience
- Business continuity
- SLA compliance
- Govern production releases, enhancements, and deployment validation.
- Data Modeling & Governance
- Design conceptual, logical, and physical data models.
- Implement enterprise data governance practices, including:
- Metadata Management
- Data Lineage
- Data Cataloging
- Ensure compliance with:
- Data Security
- Privacy Regulations
- Access Control Policies
- Analytics Enablement
- Enable trusted data consumption for:
- Business Intelligence (BI)
- Advanced Analytics
- AI/ML Solutions