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Innova Solutions hiring Data Architect

Innova Solutions

Bruselas, Región de Bruselas, Bélgica 2026-02-07

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💼Job Title: Data Architect 👨 💻Job Type: Contract 👨 💻Who can apply: Anyone 📍Location: Brussels, Belgium 📍Language: English 💼Work regime: Hybrid (2-3 days/week onsite) 🔥Keywords: Data Architect, Azure, Databricks, ETL, PySpark Sector Belgian health insurance company affiliated with the Independent Health Insurance Funds Position Overview: As a Data Solution Architect, you will design, implement, and optimize cloud-based data solutions using Azure and Databricks, including the migration of ETL job…

Job description

💼Job Title: Data Architect 👨 💻Job Type: Contract 👨 💻Who can apply: Anyone 📍Location: Brussels, Belgium 📍Language: English 💼Work regime: Hybrid (2-3 days/week onsite) 🔥Keywords: Data Architect, Azure, Databricks, ETL, PySpark Sector Belgian health insurance company affiliated with the Independent Health Insurance Funds Position Overview: 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. What you'll do: Azure Engineering & Architecture Hands-on configuration and setup of Azure services Environment provisioning, networking, IAM, and security Design of secure and efficient Azure architecture with the Enterprise Architect and the team Troubleshooting and optimization Databricks Engineering Migration of ETL jobs to Databricks Redesign ETL/ELT processes in Databricks Configure clusters, workspaces, notebooks, and CI/CD Perform performance tuning and workflow optimization Architecture & Best Practices Define end-to-end data architecture and standards with the Enterprise Architect and the team Ensure alignment with governance, lineage, and security Produce architecture documentation with the Enterprise Architect and the team Collaborating with cross-functional teams Transition & Solution Design (Legacy → New Platform) Support the design and decision-making process during the transition between the existing platform and the new Azure / Databricks environment.

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