GCP Data Modeler

Role overview Shape the target data models for a cloud-based Data Quality monitoring solution on Google Cloud. The work spans discovery of an existing solution, migration planning, modeling standards, and close collaboration with engineering and testing teams to ensure the implemented structures meet business and quality needs.

Responsibilities - Assess existing data structures, relationships, dependencies, integrations, and processes. - Design analytical and enterprise models for the target monitoring solution and define dbt Core structures, dependencies, and standards. - Set naming conventions, reusable modeling patterns, and integration principles for platform components. - Map legacy structures to the target design and identify migration gaps, dependencies, and risks. - Work with business analysts, data engineers, and test engineers on requirements, implementation, validation, and reconciliation. - Review implemented structures and maintain models, dictionaries, mapping specifications, and technical guidance.

Requirements - Extensive senior-level data modeling experience, including analytical or enterprise models. - Hands-on experience with Google Cloud Platform, dbt Core, and SQL-based data environments. - Understanding of modern cloud data architectures and Data Quality controls or monitoring. - Experience analyzing existing architectures and supporting data migration or transformation. - Ability to define modeling standards and integration principles, and produce clear technical documentation. - Strong analytical, communication, and collaboration skills; fluent English and able to own modeling decisions independently. - Practical use of AI assistants to improve analytical or documentation work. - Must work from within the European Union and hold a valid work permit.

Nice to have - Background in banking or financial services, enterprise data environments, or migrations to cloud-native platforms. - Familiarity with platform integration, Data Quality or observability models, reconciliation, and validation.