Solution Architect

You will work closely with the Data Office, technical teams, architects, and external partners to design a sovereign, open-source, interoperable platform that supports advanced analytics, data science, and regulatory compliance.

Your Responsibilities

As a Solution Architect, you will play a key role in defining the target architecture of the organization's Data Platform.

Your responsibilities will include:

Solution Architecture & Platform Design

• Design and evolve the Storage Layer and Lakehouse architecture of the enterprise Data Platform.
• Define scalable, secure, and production-ready architecture for modern data platforms.
• Ensure interoperability between the Storage Layer and other platform components, including:
• Data Ingestion Layer
• Core Systems
• Front-End Systems
• Data Science Workbench
• Business Intelligence platforms
• Data Service Gateway
• Secure Processing Environment
• Bridge enterprise architecture with detailed technical implementation.
• Contribute to the overall target architecture and long-term technology roadmap.

Data Platform & Lakehouse Architecture

• Evaluate, recommend, test, and implement technologies supporting:
• Data Lake & BLOB Storage
• Lakehouse Architecture
• Relational Databases (SQL/RDBMS)
• NoSQL Databases
• Data Warehousing solutions
• Design and implement a modern Medallion Architecture (Bronze, Silver, Gold).
• Define strategies for:
• Data ingestion
• Data integration
• Data processing
• Data consumption
• Data dissemination
• Data archiving
• Backup and disaster recovery
• Ensure the platform supports multiple data domains, including healthcare, environmental, and animal health data.

Technical Leadership

• Provide architectural guidance to engineering teams.
• Review technical designs and implementation approaches.
• Promote engineering best practices and architectural standards.
• Proactively identify technical risks and propose mitigation strategies.
• Support implementation teams throughout the project lifecycle.
• Produce high-quality technical documentation and architectural deliverables.

Security, Governance & Compliance

• Ensure compliance with:
• GDPR
• NIS2
• Data Governance Act
• European Health Data Space (EHDS)
• Information Security Committee (CSI) requirements
• Collaborate closely with the Data Office on metadata management and data governance initiatives.
• Ensure security, privacy, traceability, and governance are embedded within the platform architecture.

Stakeholder Collaboration

• Collaborate with enterprise architects, data engineers, DevOps engineers, security specialists, and business stakeholders.
• Act as the technical point of contact for architecture decisions.
• Work closely with external technology partners and vendors.
• Present architectural recommendations to both technical and non-technical audiences., * Lakehouse Architecture
• Data Lakes
• Data Warehousing
• ETL / ELT Pipelines
• Metadata Management
• Data Governance

Storage Technologies

• MinIO
• PostgreSQL
• SQL Databases
• NoSQL Databases
• S3-compatible Object Storage

Data Processing

• Apache Ecosystem
• Apache Spark
• Apache Iceberg
• dbt

Containers & Orchestration

• Docker
• Kubernetes
• Helm

Infrastructure

• OpenStack
• Terraform

Security

• Keycloak
• HashiCorp Vault

Collaboration & Development Tools

• GitHub
• GitLab
• Jira
• OpenProject

Nice-to-Have

• Experience with sovereign cloud platforms such as:
• OVHcloud
• Scaleway
• Hetzner

Business & Functional Knowledge

• Enterprise Data Architecture
• Data Governance
• Metadata Management
• Privacy & Data Protection
• GDPR
• NIS2
• European Health Data Space (EHDS)
• Data Governance Act
• Secure Data Platforms
• Healthcare Data Ecosystems

Must-Have

• Minimum 10 years of experience in one or more of the following areas:
• Solution Architecture
• Data Platform Architecture
• Data Engineering
• Big Data ecosystems
• Data Storage architectures
• Data Warehousing
• Data Modelling
• Proven experience designing and implementing modern enterprise Data Platforms.
• Strong experience with Lakehouse architectures.
• Experience designing scalable, interoperable, secure, and production-ready platforms.
• Experience with open-source data ecosystems and vendor-neutral architectures.
• Experience working with Kubernetes-based Data Science environments.
• Experience in highly regulated environments., * Strong analytical and problem-solving abilities.
• Strategic thinking with excellent architectural vision.
• Strong leadership and influencing skills.
• Excellent communication and presentation skills.
• Ability to explain complex technical concepts to both technical and business audiences.
• Strong stakeholder management capabilities.
• Autonomous and proactive mindset.
• Collaborative approach with multidisciplinary teams.
• Customer-oriented and results-driven attitude.
• Ability to lead technical discussions and influence architectural decisions.

Languages

• French or Dutch: Professional proficiency.
• English: Excellent written and spoken communication skills (mandatory).

Education

• Master's degree in Computer Science, Software Engineering, Data Engineering, Information Systems, or a related technical field.

Nexeo is looking for an experienced Solution Architect - Data Platform to join a strategic data transformation program within a leading public health organization. The mission focuses on designing and evolving a modern, secure, and scalable multi-user Data & Analytics Platform, with a particular emphasis on the Storage Layer and Lakehouse Architecture, which form the foundation of the organization's data ecosystem.