> Markdown version of [/jobs/ext/4054646-1186-senior-data-architect-french-speaking](https://www.wearedevelopers.com/jobs/ext/4054646-1186-senior-data-architect-french-speaking). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # 1186 | Senior Data Architect (French-speaking) - **Company:** Intetics - **Location:** France - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Custom Software, Data Architecture, Data Governance, Data Infrastructure, Data Warehousing, Microsoft SQL Server, Software Engineering, Systems Integration, Restful APIs - **Published:** October 20, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=08c1068b05028eef ## About the Role * Senior-level experience in Data Architecture. * Proven ability to assess existing environments and define scalable target-state architectures. * Strong background in Data Warehousing and Data Platform Design. * Hands-on experience with Microsoft SQL Server. * Experience designing and integrating REST APIs. * Experience assessing and designing cloud, on-premises, and hybrid architectures. * Deep knowledge of Data Quality management and Data Modeling. * Solid understanding of Data Governance foundations. * Experience supporting architecture implementation and testing. * French level: C1 (Advanced) or higher. * English level: B1 (Intermediate) or higher. ## Description * Conduct the initial assessment of the current data architecture and define a scalable target-state architecture. * Design an architecture that supports the integration of new subsidiaries as the business expands. * Develop architectural solutions to eliminate the existing single point of failure. * Establish and improve data quality standards and data modeling practices. * Evaluate cloud, on-premises, and hybrid approaches and recommend an appropriate architecture. * Design data warehousing and data platform solutions within Microsoft SQL Server-based environments. * Support data governance initiatives from an architectural perspective. * Define and support REST API-based integrations. * Support implementation and testing during the delivery phase.