Azure Data Architect

TMC
Brussels, Belgium
3 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English, French
Experience level
Senior

Job location

Brussels, Belgium

Tech stack

Azure
Big Data
Cloud Engineering
Data Architecture
Data Governance
Data Infrastructure
ETL
Dataspaces
Data Warehousing
Python
SQL Azure
Azure
SQL Databases
Enterprise Data Management
Azure
Spark
Microsoft Fabric
Data Lake
Data Management
Azure
Databricks

Job 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.

Requirements

  • 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.

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