Data Architect (Azure) - Brussels - Permanent
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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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