Bluteams est une Entreprise de Service du Numérique créée en février 2008 . Bluteams évolue autour de 3 valeurs fondamentales : l'Expertise, l'Engagement et le Respect. Elle est à ce titre membre du Global Compact. Bluteams est organisé en trois Poles : Les Infrastructures , les études et le pôle Recrutement. Bluteams est à l'écoute de ses clients Grands Comptes du CAC 40 ou SBF 120, en particulier dans les secteurs de la Banque / Assurance, de l'Energie, des Télécoms et des services. Bluteams leur apporte proximité et réactivité en mode engagement de résultats en particulier pour leurs infogérances, ou en mode assistance technique en particulier dans leurs pôles d'expertise et/ou Direction Technique. Bluteams a également placé ses collaborateurs en pivot de son développement et a ainsi adopté une politique RH très ambitieuse avec un suivi personnalisé. Le très fort taux de cooptation et le turn over très limité attestent de la qualité de ce suivi. Afin de promouvoir un développement qui met nos collaborateurs et nos clients au centre de nos préoccupations Bluteams à opter pour une organisation d'expertises métiers autour essentiellement du monde du Cloud et de la Cyber Securité. Le poste : Le candidat sera responsable de la conception, du développement et de la gestion des modèles de données à l'échelle de l'entreprise, en s'assurant que l'architecture des données est optimisée et en phase avec les besoins métiers. Une expertise dans les frameworks de données bancaires, la maîtrise du SQL, de PowerBI ainsi que de la modélisation conceptuelle et logique des données est requise. SENIOR DATA MODELING SPECIALIST We are looking for an experienced Senior Data Modeling Specialist to design and implement advanced data architecture solutions, specifically tailored to the financial sector. The ideal candidate will possess a strong blend of technical expertise and business understanding, with a focus on data management and framework design. This position requires close collaboration with key stakeholders to ensure alignment with organizational strategies and business objectives. KEY RESPONSIBILITIES Data Framework Development: Establish a structured data modeling framework, incorporating enterprise-level conceptual designs as well as detailed application-specific logical and physical models. Develop and maintain a centralized repository for all organizational data models, serving as a key reference for ongoing and future projects. Strategic Alignment and Execution: Ensure all data modeling activities are in sync with the company's data strategy and aligned with evolving business priorities. Promote consistency across various data layers and advocate for standardized data management practices. Stakeholder Engagement: Partner with internal teams, including business leaders, governance specialists, architects, and developers, to understand and address requirements effectively. Facilitate collaborative workshops to ensure stakeholder alignment on data initiatives. Knowledge Transfer and Documentation: Create detailed documentation and conduct training sessions to support the adoption of the data modeling framework across the organization. Technical Collaboration: Work closely with architects and business intelligence teams to integrate data models and improve workflows. Provide expert guidance to IT teams for designing logical and physical models aligned with business needs. Profil recherché : REQUIREMENTS Technical Skills: Extensive experience in designing and managing large-scale data models across diverse systems. Strong command of SQL and in-depth knowledge of foundational data modeling methodologies. Familiarity with advanced data management tools and practices; technical expertise is advantageous. Banking and Financial Industry Knowledge: Comprehensive understanding of data workflows and regulatory frameworks in the banking sector. Soft Skills: Outstanding communication abilities to bridge gaps between technical and non-technical teams. Experience in leading collaborative workshops and fostering teamwork. A solution-driven approach with strong analytical and problem-solving capabilities. Educational and Professional Requirements : Academic Background: Bachelor's or Master's degree in Computer Science, Information Systems, or related disciplines. Experience: At least 5 years of experience in IT architecture, enterprise architecture, or similar roles. Certifications: Relevant certifications in data modeling or architecture frameworks are preferred. LANGUAGES Fluency in French and English is essential; additional language skills are advantageous.