Data Architect (Azure) - Brussels - Permanent

Collective
Brussels, Belgium
2 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Application Integration Architecture Microsoft Azure Cloud Engineering Data Architecture Data Governance Data Infrastructure Data Transformation Data Security Data Structures Data Systems Data Warehousing
+18 more
Electronic Data Interchange (EDI) Meta-Data Management Online Analytical Processing Online Transaction Processing Azure Data Lake Cloud Platform System Data Ingestion Azure Data Factory Data Strategy Information Technology Apache Flink Apache Kafka Data Management Physical Data Models Video Streaming Azure Synapse Analytics Data Pipelines Databricks

Job description

We are looking for a Data Architect to play a key role in the evolution of a global, data-driven organization. This position offers the opportunity to shape and drive enterprise-wide data architecture, enabling strategic decision-making and business innovation through high-quality, scalable, and secure data solutions., You will work closely with data engineers, analysts, business stakeholders, and technology teams to define and implement the future of the company’s data landscape, with a strong focus on Microsoft Azure technologies. ️ Data Architecture Leadership

  • Define and drive the enterprise data architecture vision across multiple business domains and programs.
  • Establish architectural principles, standards, governance frameworks, and best practices.
  • Ensure consistency, scalability, and sustainability of data solutions across the organization.
  • Provide technical leadership and guidance on data architecture decisions and trade-offs.

Data Modelling & Design

  • Lead the design of conceptual, logical, and physical data models across operational and analytical environments.
  • Develop robust data structures supporting reporting, analytics, integration, and business intelligence initiatives.
  • Define and maintain data modelling standards to ensure data quality, integrity, and accessibility.
  • Support both transactional (OLTP) and analytical (OLAP) use cases.

️ Data Platform & Integration Architecture

  • Design, maintain, and evolve modern Azure-based data platforms.
  • Architect solutions leveraging technologies such as:
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Data Lake
  • Define and implement scalable data ingestion, transformation, and processing pipelines.
  • Collaborate with integration teams to establish best practices for data exchange and consumption.
  • Experience with real-time and streaming technologies (Kafka, Flink, etc.) is considered a strong asset.

Data Strategy & Governance

  • Contribute to the development and execution of the enterprise data strategy.
  • Collaborate with business and governance stakeholders to improve data quality and management practices.
  • Support initiatives related to:
  • Master Data Management (MDM)
  • Metadata Management
  • Data Governance
  • Data Quality Frameworks
  • Ensure compliance with security, privacy, and GDPR requirements.

Stakeholder Collaboration

  • Translate business requirements into scalable and sustainable technical solutions.
  • Act as a trusted advisor to both business and technical stakeholders.
  • Work closely with cross-functional teams to align data architecture initiatives with business objectives.
  • Contribute to strategic platform modernization and transformation programs.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Information Technology, Engineering, or a related field (or equivalent experience).
  • Minimum 5 years of experience in roles such as:
  • Data Architect
  • Data Engineer
  • Analytics Engineer
  • Technical Lead
  • Data Modelling Specialist
  • Demonstrated experience designing and implementing enterprise-scale data architectures.
  • Strong expertise in data modelling and data pipeline design.
  • Experience delivering complex data transformation initiatives.

️ Technical Skills

  • Hands-on expertise with Azure data technologies:
  • Azure Data Factory
  • Azure Databricks
  • Azure Synapse Analytics
  • Azure Data Lake
  • Strong understanding of data integration patterns and cloud-native architectures.
  • Experience with data warehouse and lakehouse concepts.
  • Exposure to streaming technologies is a plus.
  • Good understanding of data governance, security, compliance, and GDPR principles.

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