Data Architect - Data Anonymization & Test Data Management

• Analyze end-to-end data flows across the application landscape to identify data minimization and protection requirements.
• Develop and implement a comprehensive strategy for data anonymization, pseudonymization, and synthetic data generation.
• Facilitate workshops with diverse stakeholders from business, IT security, and enterprise architecture to align technical constraints with regulatory obligations.
• Define functional and technical requirements to support future procurement processes and market consultations for data management tools.
• Maintain referential integrity and business usability of structured and unstructured data in non-production environments.
• Ensure the protection of personal and sensitive data through effective data selection and minimization strategies.

• 7+ years of experience in Data Architecture, Data Governance, Data Management, or Data Engineering.
• Proven experience analyzing and documenting end-to-end data flows across multiple applications and databases.
• Experience with Data Masking, Anonymization, Pseudonymization, or Synthetic Data.
• Proven experience translating testing objectives into concrete test data requirements for functional, integration, and performance testing.
• Experience analyzing, optimizing, and documenting security processes and governance.
• You possess strong stakeholder management skills and the ability to structure complex situations independently.
• You’re able to work autonomously and provide end-to-end deliverables.
• You are fluent in English with fluency in French or Dutch.

Nice to Haves

• Experience defining functional and technical requirements for a Tender, RFP, or product selection process.
• Master’s degree in Science, Law, or IT.
• Knowledge of security management frameworks such as ISO 2700x, COBIT, NIST, or OWASP.