Solution Architect
Il y a 4 heures
Brussels, Brussels, Belgique
Nexeo
Temps plein
Gratuit avec email ou Google
Enregistrez cette offre et organisez votre recherche
Créez un compte gratuit pour enregistrer des offres d'emploi, créer des alertes et revenir à cette liste depuis votre tableau de bord.
Gratuit avec email ou Google
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.
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. Required Experience 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. Technical Skills Data Platform Technologies
- 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 Soft Skills We are looking for someone who demonstrates:
- Strong analytical and problem-solving abilities.
- Strategic thinking
- 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. Required Experience 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. Technical Skills Data Platform Technologies
- 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 Soft Skills We are looking for someone who demonstrates:
- Strong analytical and problem-solving abilities.
- Strategic thinking