Enterprise Data Architect – Brussels

International client based in Brussels is seeking an Enterprise Data Architect to join the team on a hybrid working contract assignment. Initial contract is for 170 working days with real possibilities of renewal. 5 days per month on site, candidates must live maximum 2 hours driving distance from Brussels. Candidates must be EU citizens for this role.

Key tasks and responsibilities:

• Creation and maintenance of Enterprise Data Warehouses (EDW) and complex Business Intelligence Solutions (Data Lakes / Data Lakehouses).
• Designing architectures both on the cloud and on premises (whether hosting or cloud on-premises) or combination of both (hybrid).
• Design a modern scalable data platform to replace a large legacy data system in a phased approach.
• Align architectural decisions with data governance policies and the department’s vision on cloudification.
• Design of data quality, audit and health monitoring processes.
• Define best practices, standards, rules, policies, review processes.
• Provide guidance and mentorship to data analysts, data engineers.
• Facilitate change management by guiding colleagues and users through the migration process.
• Document and maintain data architecture and data assets in detail.

Required skills and experience:

• Master Degree in IT or relevant field and 17 years of professional experience in IT.
• Experience in migrating legacy data systems to a modern data platform.
• Excellent knowledge of designing scalable and flexible modern data architectures.
• Excellent knowledge of business intelligence reporting tools.
• Strong understanding of cloud data architecture principles.
• Knowledge of database systems, both relational (PostgreSQL, Oracle) and non-relational (Elasticsearch, MongoDB).
• Experience with ETL/ELT processes, API integration, data ingestion and transformation tools (dbt, Spark, Talend, Fabric, SAP DS).
• Proficiency in data pipeline orchestration tools (Airflow, Dagster).
• Knowledge of data governance frameworks and tools (DataHub, Open Metadata, Atlas, Collibra), data quality management, data security, access control and regulatory compliance.
• Experience with DevOps practices and tools related to data pipelines, including CI/CD for data infrastructure.
• Excellent communication skills to articulate data architecture concepts to technical and non-technical stakeholders.
• Good knowledge of modelling tools.
• Fluent in English at least at a level B2.