Data Architect (Azure/Fabric)
Data Architect (Azure/Fabric)
Paris Based
Responsibilities
Design and implement end-to-end data solutions in Azure Fabric (Lakehouse, Data Warehouse, semantic models). Integration with Power BI and scalability models. Define data zones/hierarchy (Bronze, Silver, Gold layers). Establish data governance frameworks. Data modelling and ETL/ELT pipeline design. Define transformation logic and business rules. Manage incremental loads, dimensions, and quality checks. Optimise query performance and storage efficiency. (Tools: SQL, Python (PySpark), Azure Data Factory, Fabric Notebooks, dbt). Expertise in Python and SQL development: write efficient Python scripts (PySpark) for data transformation in Fabric Notebooks. SQL for complex queries, aggregations, and performance optimisation. Develop code libraries and reusable functions. Manage data quality validation and error handling. Representation of data in the final dashboard property. CI/CD pipeline and GitHub version control management: implement CI/CD workflows for data product deployment. Manage code repositories and branching strategies. Track changes and maintain audit trails. Tools: GitHub, Azure DevOps Pipelines, GitHub Actions, Git CLI, branch protection rules. Data governance.
Required technical skills
- Microsoft Azure
- Microsoft Azure Service Fabric
- Azure DevOps Pipelines
- SQL
- PySpark
- Git CLI, GitHub
- Power BI RLS