Data Architect

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.

• Define and evolve the enterprise data architecture, with 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.

• 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 (e.g., 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).

• Permanent contract within a business area of an educational institution.
• Exceptional employee benefits including free meals, an attractive number of days off, parking space or public transport contribution, and access to various services and facilities.
• Responsibility, challenge, development opportunities and encouragement to help you achieve your professional and personal goals.
• The opportunity to make a tangible impact on our students’, staff and partners’ experience and contribute to the growth of our institution.
• An environment where you will enjoy being part of a passionate, multidisciplinary and talented team.