Data Architect – Data Anonymization & Test Data Management

Pauwels Consulting; Brussel; On-site; EUR 90,000 - 120,000; Full time

Job summary

Pauwels Consulting is seeking a Data Architect in Brussels to define data anonymization and test data management strategies. You will bridge business and tech to ensure regulatory compliance and efficient operations across the application landscape.

You will lead end-to-end data flow analysis, develop anonymization and synthetic data strategies, and work with business, IT security, and enterprise architecture to align technical constraints with regulatory obligations.

Qualifications

• 7+ years of experience in data architecture, governance, management, or engineering.
• Experience documenting end-to-end data flows across applications and databases.
• Experience with data masking, anonymization, pseudonymization, or synthetic data.

Responsibilities

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

Skills

Data Governance

Data Architecture

Data Management

Data Engineering

Stakeholder management

Autonomous work

English fluency

Education

Master's degree in Science/Law/IT

Tools

Data Masking

Anonymization

Pseudonymization

Synthetic Data

Job description

Our client, a prominent organization based in Brussels, is looking for a Data Architect to define the strategy for data anonymization and test data management. This role involves bridging the gap between business and technology to ensure regulatory compliance and operational efficiency across the application landscape.

• 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.

• Start date: 07/12/26
• Duration: 60 days with potential for extension
• Work regime: Full-time
• Location: Brussels
• Working model: Onsite
• Contract: open to both permanent employees and freelancers