Cloud Data Modeler GCP, BigQuery, CloudSQL

As a Cloud Data Modeler with 6 to 9 years of experience in GCP environments, you will play a crucial role in designing schema architecture, creating performance-efficient data models, and guiding teams on cloud-based data integration best practices. Your expertise will be focused on GCP data platforms such as BigQuery, CloudSQL, and AlloyDB. Your responsibilities will include architecting and implementing scalable data models for cloud data warehouses and databases, optimizing OLTP/OLAP systems for reporting and analytics, supporting cloud data lake and warehouse architecture, and reviewing and optimizing existing schemas for cost and performance on GCP. You will also be responsible for defining documentation standards, ensuring model version tracking, and collaborating with DevOps and DataOps teams for deployment consistency. Key Requirements: - Deep knowledge of GCP data platforms including BigQuery, CloudSQL, and AlloyDB - Expertise in data modeling, normalization, and dimensional modeling - Understanding of distributed query engines, table partitioning, and clustering - Familiarity with DBSchema or similar tools Preferred Skills: - Prior experience in BFSI or asset management industries - Working experience with Data Catalogs, lineage, and governance tools Soft Skills: - Collaborative and consultative mindset - Strong communication and requirements gathering skills - Organized and methodical approach to data architecture challenges By joining our team, you will have the opportunity to contribute to modern data architecture in a cloud-first enterprise, influence critical decisions around GCP-based data infrastructure, and be part of a future-ready data strategy implementation team.,