Senior Solution Architect
Keyrusbelgium
| Company | Keyrusbelgium |
| Category | Engineering |
| Location | — |
| Remote | — |
| Employment | Not stated |
| Level | Senior |
| Salary | Not stated by the employer |
| Posted | 9 Jun 2020 |
| Last verified | 30 Jul 2026 |
| Source | Employer career page (teamtailor) |
Description
Why Keyrus, Why Now! Keyrus is an international group of 2,800 consultants and experts across 28 countries , built on a single conviction: AI does not transform businesses. Architected intelligence does. For more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: we operationalise intelligence. AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating. At Keyrus, you will not just develop skills - you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, every deployment that compounds on the last. Over time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision-making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a Keyrus Architect of Intelligence. Technology amplifies. Keyrus culture differentiates . Industrial discipline connects the two. What You'll Architect This role is at the core of designing enterprise-level intelligence systems. You define how data platforms, governance, and architecture come together to enable scalable decision-making. Define and deliver data architecture strategies aligned with client business objectives Design end-to-end solution architectures across data platforms, data warehousing, analytics, and MDM Build conceptual, logical, and physical data models supporting enterprise analytics and reporting Act as the bridge between business and IT, translating requirements into scalable architectural solutions Define standards, frameworks, and governance models for data and platform architecture Design and guide cloud data strategies, including migrations to Azure or AWS environments Ensure alignment between data integration, modelling, and consumption layers Guide delivery teams by defining processes, deliverables, and architectural best practices Contribute to enterprise data governance, metadata management, and data quality strategies Drive architectural consistency across projects, ensuring scalability, reliability, and long-term maintainability Who You Are You think in systems. Not projects, but ecosystems that evolve over time You understand that architecture defines how organisations operate, not just how systems are built You combine deep technical expertise with strong business understanding You are comfortable guiding both strategy and implementation You bring clarity to complex environments and align stakeholders around a shared vision You mentor teams and elevate architectural thinking across projects What You Bring Qualifications / Experience Bachelor’s or Master’s degree in IT, Computer Science, or related field 5+ years of experience in solution architecture or advanced data engineering / BI roles Proven experience in designing enterprise-level data architectures Professional working proficiency in Dutch and English Technical & Architectural Skills Strong expertise in conceptual, logical, and physical data modelling Experience with data warehousing, big data, and analytics architectures Knowledge of MDM, metadata management, and data governance principles Experience with cloud data platforms (Azure or AWS) Familiarity with ETL tools and data integration patterns Understanding of architectural frameworks (e.g. TOGAF) Knowledge of modern data approaches such as data virtualization and logical data warehousing Broad awareness of the data and analytics technology landscape Nice-to-haves Experience in large-scale transformation programs Exposure to AI
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