Senior Data Architect – 3 month project

🔥 4 minutes ago

🌐 France, Spain, +1 more countries – Remote

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⏳ Contract/Temporary

🟠 Senior

🚰 Data Engineer

🗣️🇫🇷 French Required

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Logo of Intetics

Intetics

501 - 1000 employees

Founded 1995

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Intetics is an innovative company providing custom software development services, specializing in AI and machine learning solutions. They offer Remote In-Sourcing® to build expert teams for software engineering and data processing projects, along with advanced tools like TETRA™ for software quality assessment. Intetics aims to empower businesses by leveraging high-quality data and integrating modern technologies across various industries, including healthcare, finance, and more.

📋 Description

• 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

🎯 Requirements

• 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 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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