Azure Data Architect

We are seeking an experienced Data Solution Architect with expertise in Azure and Databricks to join our dynamic team in Belgium. You will be responsible for designing, implementing, and optimizing modern data solutions to drive business intelligence, analytics, and data\-driven decision\-making. This role requires a strong technical background in cloud\-based data platforms and the ability to collaborate with cross\-functional teams.<\/span>
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• Architect, design, and implement scalable data solutions using Azure cloud services and Databricks.<\/span>
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• Define data architecture standards, best practices, and governance models.<\/span>
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• Lead the end\-to\-end design of data lakes, data warehouses, and ETL\/ELT pipelines.<\/span>
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• Work closely with data engineers, analysts, and business stakeholders to ensure alignment with business objectives.<\/span>
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• Optimize data storage, processing, and security within the Azure ecosystem.<\/span>
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• Develop strategies for data ingestion, transformation, and orchestration.<\/span>
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• Provide leadership and mentorship to junior team members<\/span>
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  Requirements<\/h3>

  • Proven experience (5+ years) as a Data Solution Architect or similar role.<\/span>
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  • Strong expertise in Azure Data Services (Azure Data Factory, Azure Synapse Analytics, Azure Data Lake, Azure SQL, etc.).<\/span>
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  • Hands\-on experience with Databricks for data engineering, analytics, and machine learning workloads.<\/span>
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  • Proficiency in Python, SQL, and Spark.<\/span>
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  • Experience with data modeling, governance, and security best practices.<\/span>
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  • Knowledge of CI\/CD pipelines and DevOps practices in a data environment.<\/span>
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  • Familiarity with Kafka, Event Hubs, or similar streaming technologies is a plus.<\/span>
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  • Strong problem\-solving skills and ability to work independently.<\/span>
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  • Fluent in English; knowledge of Dutch or French is a plus.<\/span>
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    Benefits<\/h3>

    • Competitive rates<\/span>
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    • Flexible work arrangements (hybrid\/remote options available).<\/span>
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    • Opportunity to work on innovative data projects in a fast\-growing industry.<\/span>
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    • Career growth and continuous learning opportunities (certifications, training, etc.).<\/span>
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    • Collaborative and inclusive work environment.<\/span>
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      <\/div><\/span>
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