As a Data Solution Architect, you will design, implement, and optimize cloud-based data solutions using Azure and Databricks, including the migration of ETL jobs to Databricks. You will ensure that data architectures are scalable, secure, and aligned with enterprise standards.
The role:
- Design and implement
end-to-end data architectures
on Azure and Databricks - Lead and support the
migration of ETL/ELT processes
to Databricks - Configure and optimize Azure services, Databricks clusters, workflows, and CI/CD pipelines
- Ensure alignment with
security, governance, lineage, and enterprise architecture standards - Support the transition from legacy platforms through phased and hybrid solutions
- Collaborate with cross-functional teams and actively participate in agile ceremonies
- Act as
Product Owner of the Data Platform
, owning vision, roadmap, and value delivery - Provide technical guidance, mentor team members, and promote best practices
- Contribute to monitoring, incident resolution, cost optimization, and continuous improvement
Required skills:
- Certification & Strong hands-on experience with Azure (Key Vault, IAM, networking)
- Certification & Strong hands-on experience with Databricks (Clusters, Delta Lake, Unity Catalog, PySpark, Notebooks)
- Experience in migrating ETL jobs to Databricks
- Solid knowledge of data lake house architectures
- Strong understanding of cloud security principles
- Hands-on experience with CI/CD and Git workflows
Nice to have skills:
- Terraform or Bicep
- Docker or Kubernetes
- Data governance tools (e.g., Purview, Collibra)
Non-Technical Profile Requirements
- Communication & Collaboration
- Leadership & Ownership
- Problem-Solving & Analytical Thinking
- Team Spirit & Adaptability
- Professional Attitude
- Languages: French and/or Dutch (knowledge of the second language is a plus) + very good English
Work Location
- Anderlecht, onsite presence required 2 days a week
Solliciteren