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À propos
Data Architect
Join us and shape the future of hospitality today!
EHL's dynamic campuses form a unique network where passionate students, academics and industry experts from over 120 countries come together with a common goal: to develop and disseminate hospitality knowledge, while supporting the sector's continued growth.
We are constantly striving to improve the working environment and personal development opportunities for our more than 800 staff and teachers, who are among the most recognized experts in their respective fields. Since its foundation in 1893, EHL has been widely recognized by the industry and consistently ranked among the world's top hospitality management schools. Everything we do is based on our values of excellence, family and learning, and we are committed to bringing them to life in tangible ways for our employees.
The Tech Solutions department at EHL is responsible for developing, managing, and optimizing digital tools and technological platforms. It ensures system performance, data security, and the integration of new technologies to support both academic and administrative activities. The team collaborates with various departments to design tailored solutions that meet user needs. Through its work, Tech Solutions fosters innovation, operational efficiency, and a seamless digital experience across the institution.
To join our amazing team, we are looking for a candidate who is not only skilled and passionate about hospitality but also aligns with our leadership principles: transparency, accountability, collaboration, care, and experimentation.
Data Architect
The mission of the Data Architect is to design and drive a scalable, analytics-oriented data architecture that supports business decision-making, EHL’s digital strategy, and long-term ambitions. Acts as a key interface between business, data, and technology, ensuring strong data modeling and decision-ready data across domains. The role focuses on enabling trusted analytics and improving data usability while reinforcing EHL’s premium, human-centric positioning through technology. Operating as a hybrid architect–builder, the Data Architect delivers concrete improvements across data and integration landscapes within a short timeframe. This includes hands-on structuring of core data domains and close collaboration with Cloud, AI, and Solutions Architects, ensuring AI and analytics are built on solid, business-aligned data foundations.
What will you do?
Define and evolve the enterprise data architecture, with a strong focus on conceptual, logical, and analytical data models aligned with key business domains.
Design and enable trusted analytics by building robust models, semantic layers, and shared KPIs to support BI, reporting, and self-service usage.
Establish scalable data and integration architectures (APIs, event-driven, iPaaS) to ensure reliable, timely, and traceable data flows across systems.
Develop a modern, analytics-first data platform (lakehouse) and implement a lightweight reference layer (MDM) to improve data consistency and business alignment.
Contribute hands-on to priority data initiatives while advising stakeholders, defining governance standards, and enhancing data quality, ownership, and literacy across the organization.
Who you are?
You hold a Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field; a Master’s degree or advanced training is a plus, with relevant certifications being an asset.
You bring 8 to 12 years of experience in data architecture, data engineering, data modeling, analytics engineering, or enterprise architecture.
You have proven experience structuring complex data domains in collaboration with business stakeholders and enabling enterprise-wide analytics.
You have hands-on experience building and operating data pipelines and delivering analytical data products.
You are experienced in bridging operational systems and analytical platforms, ideally within complex or multi-domain environments (higher education is a plus).
You have strong expertise in data modeling (conceptual, logical, analytical, dimensional) and solid experience with analytics architectures (BI, semantic layers, metrics).
You are proficient in data integration and architecture patterns (APIs, event-driven, ETL/ELT, data pipelines, iPaaS) and understand master data, data quality, metadata, and lineage concepts.
You have experience with modern data platforms ( , lakehouse, cloud data services) and a working knowledge of AI data requirements grounded in strong analytics foundations.
You understand data security, privacy, and regulatory constraints.
You are fluent in English (C1) and French (C1).
What we offer?
We offer you a permanent contract within a business area of an educational institution, with exceptional employee benefits including free meals, an attractive number of days off, a parking space or public transport contribution, as well as access to various services and facilities.
We offer you responsibility, challenge, development opportunities and encouragement to help you achieve your professional and personal goals.
We offer you the opportunity to make a tangible impact on our students’, staff and partners’ experience as well as contribute to the growth of our institution.
You will enjoy being part of a passionate, multidisciplinary and talented team. jpid435d929ws jpit0522ws jpiy26ws
Compétences linguistiques
- English
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