GCP Data Architect

?? Knowledge & Skills: ?? Understanding and experience with Google Cloud architecture ?? In-depth knowledge of database and data warehouse technologies & concepts from Google (., Big Query, Cloud SQL, Spanner, Big Table) ?? Experience in enterprise scale Data modelling/Data warehouse modernization/Cloud based data lakes ?? Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google cloud big data’ technologies. ?? Building Data pipelines with Data proc Cluster, Data Flow, Pub sub, Cloud Composer (Airflow), Cloud functions etc. ?? Fluency in object-oriented languages, preferably Python. ?? Strong understanding of distributed systems architecture. ?? Data quality process experience including data cleansing, audits and alerts, triage mechanisms & processes, and referential integrity. ?? CI/CD: Release, deployment with Google Cloud build and git flow, GKE, Docker ?? ?? Requirements: ?? 4+ years’ experience architecting with GCP Database Technologies ?? 2+ year’s hands-on experience on GCP ?? Certification like Google Cloud Professional Cloud Architect, Google Professional Data Engineer would be a plus. o Cloud ManagementPlatforms, Virtualization Strategies, Automation and OrchestrationStrategies, Public Cloud Platforms, Cloud Capacity/Performance Optimization, andApplication Migrations to a Cloud Platform with a clear understanding of howan IT organization capitalizes upon technology to enable the business. Deep knowledge of cloud best practices to reduce cost ofoperations along with high SLOs like five 9’s availability across tiers. Working knowledge and skills in cloud container services -GKE,storage services (. Cloud Storage), database services (Spanner| BigQuery), digital or infrastructure deployments that includes managing projectsrelated to highly virtualized solutions, digital convergence, outsourcing orsystems integrations, network engineering, and security. Deep understanding of GCP vertex search and other AI/ML services.Must be able to identify and solve AI/ML use cases across enterprise. Deep understanding of microservices patterns and hands onexperience with Microservices. Defining cloud adoption strategy and transformation roadmap forlarge scale enterprise clients. Designing, architecting, implementing, and managing cloudinfrastructure on Google Cloud Platform. Requirements: 5+ years’ experience architecting with GCP Technologies. 2+ year’s hands-on experience on developing enterpris

Created: 2025-11-17