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
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