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Solution Architect
MC Expert
Brussels, Belgiumhybridcontractsenior
We are looking for a Solution Architect to support the design of a multi-user data and analysis platform. The role involves expertise in data platforms, lakehouse architectures, and collaboration with various teams to ensure high-quality technical implementation.
Description (English)
Solution architect â Target Data Platform, storage and lakehouse
You support the design of the multi-user data and analysis platform, particularly the âstorage layerâ component (including the âdata lakeâ, which forms the foundation of the data platform). You also support interactions with other components (âingestion layerâ, âcore systemsâ, âfront-end systemsââŠ).
You specialize in data and analysis platforms, with expertise in lakehouse architectures, Kubernetes-based data science environments, open source ecosystems, and European digital sovereignty initiatives.
You have experience in designing scalable, interoperable, secure (GDPR, NIS2) production-oriented platforms using technologies such as PostgreSQL, MinIO, OpenStack, Apache, Kubernetes, Docker, Spark, Onyxia, and modern governance and metadata frameworks.
You bridge the gap between organizational-level architecture and detailed technical implementation. You collaborate with internal services, technical teams, and external partners to find an integrated and robust solution.
âą data warehouse relational database management system (RDBMS)
âą SQL RDBMS
âą NoSQL Database System.
âą âcore systemsâ
âą âfront-end systemsâ (data science workbench, BI, data service gateway, secure processing environment)
âą Design and implementation of modern data and analysis platforms.
âą In lakehouse architectures, open source ecosystems (without single vendor lock-in), and European digital sovereignty initiatives.
You support the design of the multi-user data and analysis platform, particularly the âstorage layerâ component (including the âdata lakeâ, which forms the foundation of the data platform). You also support interactions with other components (âingestion layerâ, âcore systemsâ, âfront-end systemsââŠ).
You specialize in data and analysis platforms, with expertise in lakehouse architectures, Kubernetes-based data science environments, open source ecosystems, and European digital sovereignty initiatives.
You have experience in designing scalable, interoperable, secure (GDPR, NIS2) production-oriented platforms using technologies such as PostgreSQL, MinIO, OpenStack, Apache, Kubernetes, Docker, Spark, Onyxia, and modern governance and metadata frameworks.
You bridge the gap between organizational-level architecture and detailed technical implementation. You collaborate with internal services, technical teams, and external partners to find an integrated and robust solution.
Key Responsibilities
âąPropose, evaluate, test, and provide advice on technologies, tools, and methodologies for the âstorageâ component (lakehouse). This includes:
âą BLOB storage, data lakeâą data warehouse relational database management system (RDBMS)
âą SQL RDBMS
âą NoSQL Database System.
âąPropose how to implement the âmedallionâ architecture (bronze, silver, gold), archiving, and backup within the data platform, considering ingestion, processing, integration, consumption, and dissemination of various types of data flows and obligations (legal, Belgian ecosystem of health, animal and environmental data).
âąEvaluate, propose, and test that these solutions are consistent with the overall architecture of the platform, based on open source, sovereign, and multi-user technologies, and are compatible and interoperable with other âApplication architectureâ components, particularly with:
âą âingestion layerâ (including various sources)âą âcore systemsâ
âą âfront-end systemsâ (data science workbench, BI, data service gateway, secure processing environment)
âąEnsure that the architecture and data flows comply with the requirements defined by the Data office, GDPR, NIS2, Information Security Committee (CSI), the new registry policy, and the European Health Data Space (health data holder, trusted data holder).
âąProactively resolve challenges related to system choices and implementation.
âąAdvise technical teams, evaluate technical designs and code, support best practices.
âąCollaborate with various concerned services, management, and external partners and act as a technical contact person.
âąWrite (technical) documentation.
âąEnsure high-quality technical implementation.
Skills & Experience
âąMaster's degree in computer science, engineering, data management (or other, complemented by relevant experience).
âąAt least 10 years of experience:
âą In data platforms, data engineering, solution architecture, data storage, big data ecosystems, data modeling, and database technologies.âą Design and implementation of modern data and analysis platforms.
âą In lakehouse architectures, open source ecosystems (without single vendor lock-in), and European digital sovereignty initiatives.
Languages
âąLanguages: excellent knowledge of English and French.
Competitive
Job Info
Type
contract
Level
senior
Work
hybrid
Salary
Competitive
Posted
Jul 24, 2026
Start Date
Sep 1, 2026
Deadline
Jul 31, 2026
Tech Stack
PostgreSQLMinIOOpenStackApacheKubernetesDockerSparkOnyxia