Data Architect

We are looking for a Medior Data Architect to support the design, implementation, and evolution of a modern Azure-based data platform. The role combines enterprise data architecture, cloud engineering, governance, AI/ML integration, and digital twin initiatives in a Smart City context. The consultant will contribute to the architecture of a large-scale Azure data ecosystem, support the deployment of CI/CD and Infrastructure as Code practices, and help deliver data-driven services leveraging IoT, geospatial, BIM, and analytics technologies. The assignment is full-time with a minimum of two days per week on-site in Brussels.

Are you the right applicant for this opportunity Find out by reading through the role overview below.

Your missions:

• Design and evolve the Azure Data Architecture used across the organization.
• Contribute to the Digital Twin initiative focused on urban heat island monitoring and analysis.
• Support the implementation and industrialization of CI/CD processes around the Azure Data Platform.
• Define and govern end-to-end data architectures covering ingestion, processing, storage, analytics, AI/ML, and reporting.
• Ensure secure, scalable, and maintainable cloud data platform architectures.
• Establish governance standards and best practices for data management and platform lifecycle management.
• Collaborate with internal teams, external partners, and business stakeholders to drive architectural decisions and technology adoption.

Your activities:

• Design Azure-based Lakehouse architectures and modern data platforms.
• Define and implement data models including Medallion, Data Vault, dimensional models, MDM, and EDM frameworks.
• Architect real-time ingestion pipelines for IoT sensor streams and geospatial datasets.
• Integrate heterogeneous data sources such as IoT, BIM, GIS, and open data platforms.
• Design and oversee ELT/ETL processes and orchestration mechanisms.
• Implement Infrastructure as Code using Terraform or equivalent technologies.
• Develop and maintain Azure DevOps CI/CD pipelines for platform deployment and promotion across environments.
• Define networking, security, RBAC, private endpoint, VNet, Key Vault, and policy strategies.
• Implement and govern data cataloging, lineage, classification, and quality processes through Microsoft Purview.
• Design and integrate AI/ML capabilities, including model training, deployment, monitoring, and MLOps practices.
• Architect semantic and reporting layers using Power BI or equivalent technologies.
• Lead architecture reviews, technology standards, documentation, and technical debt management.
• Support migrations of critical production platforms while ensuring service continuity.
• Transfer knowledge and coach internal teams on architecture principles and platform operation.

You have the following skills:

Data Architecture

• End-to-end Data Architecture design.
• Enterprise Data Management (EDM).
• Master Data Management (MDM).
• Data integration through ESB and APIs.
• Data Vault modelling.
• Dimensional modelling.
• Medallion Architecture.
• Lakehouse Architecture.

Azure Data Platform

• Azure Data Lake.
• Azure Data Factory.
• Azure Synapse Analytics.
• Azure Databricks.
• Azure-based data ecosystem architecture.

Cloud Engineering & DevOps

• Azure DevOps.
• CI/CD pipeline implementation and automation.
• Infrastructure as Code (Terraform or equivalent).
• Landing Zones and deployment blueprints.
• Environment segregation and promotion strategies.
• Automated testing and release management.

Governance & Data Management

• Microsoft Purview.
• Data cataloguing.
• Data lineage.
• Data classification.
• Data quality management.
• Metadata management.
• Governance frameworks.

Digital Twin & Smart City

• Digital Twin architectures.
• IoT sensor data integration.
• Geospatial data integration.
• BIM data integration.
• Smart City data ecosystems.
• Real-time data processing.

Artificial Intelligence & Analytics

• AI/ML platform architecture.
• MLOps.
• Model Registry.
• Model Monitoring.
• Inference and deployment architectures.
• Predictive analytics platforms.

Security

• RBAC and Entra ID authorization models.
• Private Endpoints.
• Virtual Networks (VNet).
• Azure Key Vault.
• Security Policies and Governance.
• Secure cloud platform design.

Reporting & Visualization

• Power BI.
• Semantic data models