Data Architect: Anonymization & Test Data Strategy

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

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.