Here's a brief overview of the tasks and responsibilities that will fall to you

Design and evolve the architecture of data warehouses, data counters, and analytics platforms. Define data models, integration guidelines as well as standards and best practices in terms of data structuring, quality and traceability. Design ETL/ELT architectures, acquisition, transformation, and load workflows, and data pipelines. Establish strategies for the integration, orchestration, automation and industrialization of data processing. Supervise the use of cloud data platforms and participate in technological orientations related to data engineering. Implement and support DevOps practices, including continuous integration and deployment. Ensure the performance, resilience, scalability, security and sustainability of data solutions. Contribute to architectural reviews, impact assessments, and the production of architectural deliverables. Support engineering, development teams and stakeholders in the design of robust solutions adapted to needs. Recommend best practices and act as a data architecture consultant.

The Profile We Are Looking For Is As Follows

Minimum of 10 years of experience in data architecture, data engineering, or a similar role. Significant experience in the design and implementation of analytics solutions, data warehouses and decision-making platforms. Strong ability to design robust, scalable and secure data architectures. Experience with Microsoft and cloud platforms including Microsoft SQL Server, SSIS, Microsoft Fabric, Azure Data Factory, OneLake, Data Pipelines, and Notebooks. Experience in modernizing analytics platforms to cloud architectures. Good understanding of data asset governance, quality, security, and reuse practices. Experience in complex, multidisciplinary and transformative environments. Excellent communication, outreach, influence and technical leadership skills.