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Enterprise Architect

Enterprise Architect

AlmavivA de BelgiqueBrussels, Brussels Region, Belgium
Il y a 8 jours
Description de poste

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)

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