Data Architect

Context of the mission / Objectives of the job

 

We are looking for an experienced Data Architect to lead the design and evolution of our data architecture, ensuring its scalability, security, governance, and alignment with our business and technological objectives. A central pillar for our Data Engineering, Data Science, and business teams.

Responsibilities include (but are not limited to):

• Define and Drive Data Strategy:
  Elaborate the vision and roadmap for the data architecture, aligning with business objectives and in close collaboration with various stakeholders.

• Design and Optimize Architectures:
  Design comprehensive data architectures (Data Lake, Data Warehouse, etc.) and select appropriate technologies to meet analytics, AI, and operational needs.

• Establish Standards and Governance:
  Define norms for data modeling, quality, security, and performance, and implement governance principles (lineage, data dictionary).

• Guide and Promote Best Practices:
  Provide technical oversight to Data Engineering/Science teams during implementation, ensure system consistency, and promote best architectural practices within our department.

Mission period

• Expected Start Date: Asap
• Duration: 24 months (Depending on project evolution, extension is possible)

Language requirement

Language	Speaking	Reading	Writing	Mandatory	Preferable
English	2	2	2	X
Dutch	3/2	3/2	3/2	X
French	3/2	3/2	3/2	X

1 = Basic – 2 = Good – 3 = Fluent

Localisation

Brussels centre.

Level of education required

Master’s degree in a quantitative field (computer science, statistics, mathematics, engineering, etc.) or a related discipline with a strong focus on data analysis.

Required Knowledge and Experience

Personal Skills (soft skills)

Mandatory
Strategic vision and ability to anticipate: Thinks long-term and aligns data strategy with business objectives.
Technical leadership and influence: Inspires trust and convinces teams and stakeholders of the best architectural approaches.
Communication and Pedagogy: Explains complex concepts clearly and interacts effectively with both technical and non-technical audiences. Fluent in French, Dutch, and English.
Analytical and Pragmatic: Quickly understands complex issues, proposes clear solutions, and balances ideal architecture with operational and budget constraints.

Business Experience Required

Mandatory	Years
Experience as a Data Architect or Senior Data Engineer with significant architectural responsibilities.	Senior (5 y – 8 y)

Technical Experience Required

Mandatory
Advanced expertise in data architecture (Data Warehouse, Data Lake) and dimensional data modeling for relational databases.
Strong knowledge of cloud data platforms (e.g. expertise in GCP services like Dataflow, Cloud Storage, or Azure services like Synapse Analytics, Data Factory, Databricks), programming languages (Python), SQL optimization, data security/compliance (GDPR), and DevOps/DataOps principles for automation.