Data Quality Architect: Health Data Governance

Smals; Brussel Hoofdstad; On-site; EUR 70,000 - 100,000; Full time

Job summary

Smals is seeking a senior data professional to join the Data Office and ensure data quality, accuracy, and availability. You will work with data scientists, engineers, and health sector experts using modern technologies to validate and improve data quality.

The role focuses on defining validation rules, monitoring data flows, and coordinating with Data Owners and Data Stewards to uphold data governance standards.

Qualifications

• 7+ years in large-scale data teams.
• Master's degree in computer science or equivalent experience.
• Experience in data quality, MDМ or related domains.

Responsibilities

• Translate business requirements related to data quality into validation rules and control processes.
• Analyze data flows from business and technical perspectives to ensure quality and suitability for use.
• Define, document, and maintain data quality controls including semantic and syntactic validation rules.
• Conduct data quality assessments using a validation engine, analyze results, and coordinate corrective actions with Data Owners and Data Stewards.
• Be responsible for the quality, integrity, availability, and lifecycle of reference data.
• Coordinate and support data quality monitoring and improvement activities with Business Owners and Data Stewards.
• Evaluate new data flows and reference datasets, identify quality improvement opportunities, and contribute to governance.
• Configure, maintain, and improve data validation platforms and reference data management solutions.
• Collaborate with stakeholders to promote good data quality practices and support governance initiatives.

Skills

Data quality

Data governance

Validation rules

Collaboration

Education

Master's degree in computer science or equivalent experience

Job description

Smals is seeking a senior data professional to join the Data Office and ensure data quality, accuracy, and availability. You will work with data scientists, engineers, and health sector experts using modern technologies to validate and improve data quality.

The role focuses on defining validation rules, monitoring data flows, and coordinating with Data Owners and Data Stewards to uphold data governance standards.