GCP Data Architect

Detailed JD:Designs and implements scalable, secure, and cost-effective data solutions on the Google Cloud Platform.Translate complex business requirements into cloud-native data warehouses, data lakes, and streaming pipelines, while ensuring strict data governance, platform modernization, and optimization for AI/ML workloads.Core ResponsibilitiesPlatform Architecture: Design and build end-to-end cloud-native data platforms (Data Lakes, Data Warehouses).Data Pipelines: Architect and optimize robust ETL/ELT pipelines for batch and real-time processing.Cloud Migration: Lead the transition and modernization of legacy on-premises data systems (e.g., Teradata, Oracle, Informatica) to GCP.Data Modeling: Translate business needs into logical, conceptual, and physical data models (e.g., star/snowflake schemas, Data Mesh concepts).Governance & Security: Implement enterprise-grade security frameworks, data masking, and metadata management.Required Skills & QualificationsGCP Core Services: Deep, production-level expertise in BigQuery, Cloud Storage, Dataflow, Data Fusion, Dataproc, and Pub/Sub.Programming Languages: Proficiency in Python and SQL.DevOps & Orchestration: Experience with Infrastructure-as-Code (Terraform) and workflow orchestration (Cloud Composer/Apache Airflow).