As a Data Architect, you will know our enterprise information model, our data governance principles and our IT & data architecture. You will contribute to the projects of various business divisions (Enterprise, Consumer, Customer Operations, Staff and Support) respecting the different business processes (customer intelligence, fulfillment, repair, provisioning, billing, ...).

The Data Architect enables data and data flows to be set-up and/or maintained in qualitative fashion. He works with business and IT colleagues (architects, process engineers, functional analysts and project managers) to ensure that a full set of relevant, clear and unambiguous requirements regarding data and analytics are described and implemented.

A Typical Week
  • Assess the impact of a project on our enterprise information model, business/information capabilities and, if necessary, propose changes.
  • Capture data requirements and deliver logical data models, data flow diagrams and other artefacts.
  • Determine the safety/security level of data (access, GDPR, Chinese Wall, ...).
  • Contribute to a well-documented application design with focus on data and analytics (data model, reference data, technical architecture) for the purpose of standardization and reusability ensure the final delivery conforms to the design.

  • B2 level of English minimum. Knowledge of French and/or Dutch are considered strong assets.
  • At least 7 years of experience as a Functional Analyst or Architect, with proven experience in Data Management, Enterprise Information Modeling, Logical Data Modeling, Data Quality and/or Data Governance projects.
  • Experience with Rational Data Architect, Erwin, Embarcadero or Powerdesigner is an advantage.
  • Knowledge of Business Intelligence, Datawarehousing and/or Big data is an advantage.
  • Knowledge of the telecommunications environment (eg eTOM/SID) is a strong advantage.

Brussels, Belgium.


7 years of experience minimum.

Salary Range



Telecom Sector.

Data Management Data Modelling Logical Data Modelling Data Quality Data Governance Business Intelligence Datawarehousing Big Data

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