The Role
- Architect & Build: Deliver end-to-end solutions across Fabric, OneLake, Lakehouse, and Warehouse.
- Pipeline Engineering: Develop robust ETL/ELT pipelines via Fabric Data Factory, Dataflows Gen2, and Spark Notebooks.
- Data Architecture: Build out Bronze, Silver, and Gold layers using medallion architecture and design enterprise conformed data models.
- Governance & Security: Implement data governance, lineage, and cataloguing using Microsoft Purview alongside core Azure security/networking.
- DevOps Culture: Embed Git, Azure DevOps, CI/CD, and infrastructure-as-code practices into the platform delivery.
What We Are Looking For
- Fabric Expertise: Proven, hands-on commercial experience delivering production-grade Microsoft Fabric platforms.
- Technical Stack: Advanced SQL, Python, and Spark engineering skills.
- Data Modelling: Strong background in canonical, dimensional, and enterprise-level data modelling.
- Ecosystem Knowledge: Deep understanding of the wider Azure data landscape and Microsoft Purview.
- Delivery Focus: Ability to operate as a hands-on lead, collaborating smoothly with architects, analysts, and senior stakeholders.
Industry:
Data & Analytics
Seniority Level:
Not Specified