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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data Architect - **Company:** TMC - **Location:** Brussel, Belgium - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Azure, Big Data, Cloud Engineering, Data Architecture, Data Governance, Data Infrastructure, Extract Transform Load (ETL), Dataspaces, Data Warehousing, Python (Programming Language), SQL Azure, Azure Data Lake, SQL Databases, Enterprise Data Management, Azure Data Factory, Apache Spark, Microsoft Fabric, Data Lakes, Data Management, Azure Synapse Analytics, Databricks - **Published:** September 1, 2026 - **Apply:** https://europa.eu/eures/portal/jv-se/jv-details/ZjlhNjdmOGEtZDhkZC00OWEwLWI5NTEtYjZiNjM3ZGJhMThmIDM?lang=en ## About the Role * Minimum 5 years of experience as a Data Architect, Senior Data Engineer, or in a similar data-focused role. * Proven experience designing and implementing large-scale data platforms on Microsoft Azure. * Strong hands-on expertise with Databricks, including Delta Lake, Unity Catalog, Data Workflows, and Lakehouse Architecture. * Extensive experience with data modeling, data warehousing, data lakes, and modern cloud-native architectures. * Strong knowledge of Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure SQL, and Microsoft Fabric. * Proficiency with SQL, Python, Spark, and ETL/ELT frameworks. * Understanding of data governance, security, master data management, and data quality principles. * Experience leading technical discussions and influencing architecture decisions at enterprise level. * Strong analytical, communication, and stakeholder management skills. * Professional proficiency in French and English is mandatory. ## Description As a Senior Data Architect, you are responsible for designing and shaping modern enterprise data platforms that enable data-driven decision-making across the organization. You define data architecture strategies, establish best practices, and lead the design of scalable, secure, and high-performing data ecosystems, with a strong focus on Databricks and Microsoft Azure. Your responsibilities include: * Designing and implementing enterprise-wide data architectures on Azure and Databricks. * Defining data platform roadmaps, architecture standards, and governance frameworks. * Leading the design of modern data lakehouse architectures using Databricks. * Collaborating with business stakeholders, Data Engineers, Data Scientists, BI teams, and senior leadership to translate business requirements into scalable technical solutions. * Defining data modeling strategies for analytical and operational use cases. * Ensuring data quality, security, compliance, and governance across the data landscape. * Providing architectural guidance and technical leadership to delivery teams. * Evaluating emerging technologies and recommending improvements to the data platform ecosystem. * Documenting architecture decisions, technical standards, and best practices. ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Modern Data Architectures need Software Engineering](https://www.wearedevelopers.com/videos/1030-modern-data-architectures-need-software-engineering) - [Hacking MSSQL on Cloud. 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