Enterprise Architect - Deadline 04/07/25

Following skills and knowledge are required for the performance of the above listed tasks:

• Excellent understanding of enterprise architecture frameworks (e.g., TOGAF) and their practical implementation;

• Demonstrated hands-on development experience in PL/SQL, Python, and R, with proven ability to build data flows, analytics modules, and integration components;

• Familiarity with data science environments, including RStudio, Anaconda, and Stata, particularly in support roles for policy-oriented analytical teams;

• Ability to configure and deploy Kubernetes clusters, including enterprise-ready distributions such as Tanzu, OpenShift, or Nutanix;

• Practical experience in CI/CD implementation, including the use of tools such as Jenkins, GitLab CI/CD, and other Application Lifecycle Management (ALM) platforms;

• Working knowledge of DevOps principles and agile delivery workflows, including collaboration between developers, architects, and data teams; • Ability to produce technical documentation and architecture diagrams that align design and execution;

• Strong collaboration and communication skills, with experience working directly with data scientists, policy units, and IT implementation teams.

• Capability of integration in an international/multicultural environment.

• Excellent team collaboration and adaptability

• Ability to participate in multilingual meetings.

• Excellent verbal and written communication skills in English (C1); French (B2) is considered an asset.

• High level of discretion and integrity when working with sensitive and confidential information.

SPECIFIC EXPERTISE

• Minimum 10 years of professional experience in IT, including at least 5 years in roles involving architecture, data platform integration, or full-stack implementation of data solutions;

• Proven hands-on experience in developing data transformation pipelines, analytics integrations, and ETL processes using PL/SQL, Python, and/or R;

• Practical experience configuring and maintaining Kubernetes environments, including enterprise distributions such as Tanzu, Nutanix, or OpenShift;

• Solid operational knowledge and use of CI/CD tools and pipelines, especially with Jenkins, Git, and broader ALM toolchains used in deployment and release automation;

• Familiarity with deploying and supporting tools commonly used by data scientists, such as Stata, RStudio, and Anaconda;

• Experience contributing to agile project teams, ideally within small, highly collaborative settings;

• Demonstrated ability to support and co-develop risk assessment modules — such as those related to CBAM risk management — in coordination with policy experts and data scientists.

Optional certifications considered as an asset:

• ITIL Foundation Certification • AWS Certified Cloud Practitioner Other relevant certifications:

• Enterprise Architecture frameworks: TOGAF, ArchiMate

• Oracle Certified SQL Expert

• Architectural Thinking – IBM Digital Badge

Level 9 to 10

Delivery mode : Near Site (Brussels)