Senior Data Architect

OneSource Consulting; Limburg; Hybrid; EUR 83,000 - 138,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

OneSource Consulting is seeking a skilled Data Integration & Governance Consultant to join our client project in Hasselt, Belgium. The role focuses on building a future-oriented data landscape, defining architecture principles, and guiding migration and integration efforts with a strong emphasis on governance and data quality.

The candidate will map data sources, design a canonical model, support migration, and collaborate with business experts, project leaders, and suppliers to deliver an

Qualifications

• Proven experience with complex integration and transformation projects.
• Experience with API-based architectures, event-driven architectures, middleware and iPaaS platforms.
• Knowledge of data modelling, master data management, data governance and data quality.
• Experience with data migration projects.

Responsibilities

• Map the data landscape: inventory sources, databases, files and applications.
• Define architecture principles and integration/migration strategies.
• Design a canonical data model and semantic definitions.
• Develop sustainable integration architecture and API/iPaaS integrations.
• Support migration, archiving and reporting initiatives.

Skills

Proven experience with complex data?n?

API-based architectures

Event-driven architectures

Data modelling / MDM / governance / QI

Tools

iPaaS platforms

Job description

Location: Hasselt, Belgium (Hybrid, 2-3 days/week onsite)

Context of the assignment

• The consultant works together with the internal data team, business experts, project leaders, and suppliers to develop a future-oriented data landscape. The focus is on defining architecture principles, implementing integration and migration strategies, and developing a sustainable approach to data governance.

Scope of the assignment

The consultant supports Client with:

Mapping the data landscape

• Inventory of data sources, databases, files and applications.
• Documenting data structures, entities, and interdependencies.
• Identifying duplicate data sources, shadow IT and data quality issues.
• Creation of data mappings between existing and future systems.

Supporting data quality and data governance

• Developing agreements on data standards and reference data.
• Defining validation rules and quality checks.
• Advising on data management, ownership, and governance processes.

Designing a canonical data model

• Identify core entities and data relationships.
• Designing an organization-wide data model.
• Define semantic data definitions and unique identifiers.
• Alignment of the model with healthcare-related standards (FHIR)

Developing a sustainable integration architecture

• Design data flows between applications.
• Define mappings between source and target systems.
• Support API and iPaaS integrations.

Supporting migration, archiving and reporting initiatives

• Preparing data migrations to new applications.
• Advising on archiving and history management.
• Contribute to the development of a data warehouse.

The candidate has:

• Proven experience with complex integration and transformation projects.
• Experience with API-based architectures, event-driven architectures, middleware and iPaaS platforms.
• Knowledge of data modelling, master data management, data governance and data quality.
• Experience with data migration projects.