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The prospect

We are seeking an experienced GCP Data Architect to design and implement scalable cloud-native data platforms, data lakes, and enterprise data warehouse solutions on Google Cloud Platform (GCP). The candidate will be responsible for defining/evaluating architecture standards, designing data integration frameworks, guiding engineering teams, and delivering business-focused analytics solutions

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Your key responsibilities
- Design and implement enterprise-scale Data Lake and Data Warehouse solutions on GCP
- Well-versed with ETL process- SCD handling, incremental and historic loads, Failover processing, recovery and reprocessing of data pipelines, Data quality framework and controls




- Define end-to-end data architecture (Lakehouse, event-driven) including ingestion, transformation, governance, security, and consumption layers
- Develop cloud-native data integration solutions using Google Cloud services
- Architect data pipelines for multiple source systems such as fund administrations, SQL Server, APIs, and external platforms
- Design and develop pub/sub ingestion streams
- Implement data profiling, data quality, encryption, and compliance controls using GCP-native services.
- Establish orchestration frameworks and workflow automation strategies using Cloud Composer and Airflow
- Lead solution design reviews and provide technical guidance to development teams
- Collaborate with business stakeholders to translate business requirements into scalable data solutions.
- Present architecture solutions to internal leadership and client stakeholder

Design & implement data mart (foundational and consumer mar

📌 EY - GDS Consulting - AI And DATA - GCP - Manager (Mumbai)
🏢 EY Studio+ Nederland
📍 Mumbai