Senior Data Architect (3 month project)

Pubblicato il 31-10-2026 · CONSULT · Campo di Ne

We are looking for an experienced Senior Data Architect to assess an existing data landscape and define a scalable target-state architecture that can support future business growth.

Le informazioni riportate di seguito illustrano i requisiti del ruolo, l'esperienza richiesta ai candidati e le qualifiche associate.

The role combines architecture assessment, data platform design, governance, data quality, integrations, and implementation support across cloud, on-premises, and hybrid environments.

Language requirement

French - C1 or higher

What you'll be working on

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- Assess the current data architecture and identify key risks, limitations, and improvement areas

- Define a scalable target-state data architecture

- Design an architecture that can support ongoing expansion through new subsidiaries

- Address architectural dependencies and eliminate existing single points of failure

- Define and improve data quality standards and data modeling practices

- Evaluate cloud, on-premises, and hybrid architecture options

- Design data warehouse and broader data platform solutions

- Support data governance initiatives from an architectural perspective

- Define and support REST API-based integrations





- Work with Microsoft SQL Server-based data environments

- Conduct the initial architecture assessment during the first project phase

- Support implementation and testing activities during the delivery phase

- Collaborate with technical and business stakeholders throughout the architecture and implementation lifecycle

What we're looking for

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- Senior-level experience in Data Architecture

- Fluent French at C1 level or above

- Strong understanding of Data Governance principles

- Hands-on experience with Microsoft SQL Server

- Proven experience designing xlwpduy and integrating REST APIs

- Strong background in Data Warehousing and Data Platform Design

- Experience assessing and designing cloud, on-premises, and hybrid architectures

- Deep knowledge of Data Quality management and Data Modeling

- Ability to evaluate existing data environments and define scalable target-state architectures

- Experience supporting implementation and testing of architectural solutions

- Strong analytical skills and ability to translate business growth requirements into sustainable technical architecture

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