Your responsibilities:
Oversee the data aspects of the solutions: data flow, integration, design, modeling and optimization.
Define appropriate methods for data integration and exposure, with a focus on sustainability.
Contribute to data governance, including quality and process management.
Align solutions with functional and non-functional requirements (volumes, growth).
Document data flows and models to ensure traceability and evolution of solutions.

Profile sought:
Experience: 5 to 10 years in architecture or data management, with a focus on system integration in complex environments.
Technical skills: Data modeling (conceptual, logical, physical), master data management, integration via microservices, ETL, data virtualization, business intelligence, Datawarehouse and Datalake. Knowledge of cloud platforms (Azure, AWS, Databricks, Snowflake, SAP Datasphere).
Know-how: Ability to explain complex concepts, lead workshops, synthesize business and technical issues.
Assets: Data management certifications (CDMP), agile methodologies, sector expertise in finance, accounting or HR.
Personal qualities: Collaborative leadership, sense of service, team spirit, management under pressure.