
Transformative Data Architect
3 days ago
As a seasoned Senior Data Solutions Architect, you will be responsible for designing, building, and optimizing end-to-end data solutions using Microsoft's data platforms.
You will work with cross-functional teams to implement contemporary data architecture patterns, create robust data pipelines, and deliver insight-driven analytics that drive business growth.
The ideal candidate will have a strong background in data engineering, expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI, and proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M).
They should also have experience with real-time streaming (Event Hubs/Kafka) and batch processing, as well as a proven track record in implementing medallion architecture and enterprise BI solutions.
Key Responsibilities:- Design and implement data solutions using ADF, Microsoft Fabric, Synapse, Databricks.
- Build data models for scalable data processing, endpoint processing, and integration.
- Develop and optimize data pipelines (real-time, batch, and BYOD).
- 5–7 years of data engineering experience.
- Strong expertise in Microsoft Fabric, Azure Synapse Analytics, Databricks, Power BI.
- Proficiency in SQL, T-SQL, Spark SQL, Python/Scala, DAX, Power Query (M).
- Experience with real-time streaming (Event Hubs/Kafka) and batch processing.
- Proven track record in implementing medallion architecture and enterprise BI solutions.
- Opportunity to work on cutting-edge Microsoft data projects.
- Collaborative environment with experienced professionals.
- Continuous learning opportunities.
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