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WinWire is looking for an experienced Azure Data Architect to design and implement scalable Azure-based data platforms. The role requires deep expertise in Azure Data Engineering, Databricks, ADF, and Synapse, along with a strong ability to lead solution architecture discussions.
The ideal candidate will have over 12 years of experience and a proven record of delivering enterprise-grade analytics solutions. Responsibilities include developing ELT pipelines, architecture documentation, and Power BI reporting solutions.
We are seeking an experienced Azure Data Architect with deep expertise in Azure Data Engineering, Databricks, ADF, Synapse, Microsoft Fabric, and BI/Data Modelling. The ideal candidate must have a strong background in building scalable cloud data platforms, designing architecture blueprints, and delivering end-to-end analytics solutions across multiple enterprise-grade projects.
Experience Level: 12+ years
4+ years defining architecture blueprints for scalable cloud-based data and analytics platforms.
Extensive experience preparing:
Strong background in data modelling, semantic layer design, and data consumption frameworks.
7+ years converting business requirements into technical specifications and delivering complete BI/data solutions.
Demonstrated ability to independently lead solution design discussions with Business and IT stakeholders.
Recent 5+ years of experience working with Azure Data Engineering solutions including ADF, Synapse, and orchestration of end‑to‑end data pipelines. 5+ projects
4+ years of hands‑on experience with Databricks, at least 4 projects
2+ years of experience in Power BI
Around 1 year experience in Fabric DE
Worked with Direct Lake, One Lake, and Lakehouse's in Fabric
Built and orchestrated end‑to‑end data pipelines using Fabric Dataflows Gen2, Notebooks
Good to have experience working with Fabric Copilots
Experience in Power BI Pro, Premium
use of DAX, Power Query, and M language
Experience with Dataflows, Incremental Refresh