GCP Data Architect

GCP Data Architect - We are seeking an experienced GCP Data Architect to design, build, and govern scalable, secure, and high-performance data platforms on Google Cloud Platform (GCP) . The role requires deep expertise in cloud-native data architecture, ETL/ELT pipelines, analytics, and data warehousing, along with the ability to translate business requirements into robust technical solutions. Key Responsibilities Design end-to-end GCP data architecture solutions Define and implement scalable, secure, and cost-efficient data platforms Architect and build ETL/ELT pipelines using Python and GCP-native services Design and optimize data warehousing and analytics solutions using BigQuery Develop and orchestrate data workflows using Cloud Composer (Airflow) Implement large-scale data processing using Dataflow and Dataproc Design event-driven and streaming architectures using Pub/Sub and Cloud Functions Manage and optimize data storage using Cloud Storage Design and manage SQL-based data models and schemas Integrate and manage relational databases including MS SQL Server and PostgreSQL Ensure best practices around data governance Collaborate with stakeholders, engineering teams, and business users to align data architecture with business goals Required Skills & Experience Strong hands-on experience with Google Cloud Platform (GCP) Proven experience as a Data Architect or Senior Data Engineer Expertise in BigQuery and modern data warehousing concepts Strong proficiency in SQL and Python Experience building and maintaining cloud-based ETL/ELT pipelines Strong experience with relational databases : MS SQL Server, PostgreSQL Solid understanding of data modeling, schema design, and performance optimization Experience with large-scale, distributed data systems Education Bachelors degree in Computer Science, Information Systems, Engineering , or a related field Equivalent practical experience will be considered