
Principal Large Scale Data Architect
1 day ago
About this role
This is a remote, contract position responsible for designing, building, and maintaining the infrastructure required for data integration, storage, processing, and analytics (BI, visualization, and Advanced Analytics).
We are seeking an experienced Senior Data Engineer with a strong background in Python, SQL, PySpark, Azure, Databricks, Synapse, Azure Data Lake, DevOps, and cloud-based large-scale data applications.
Key Responsibilities- Design, develop, test, and maintain high-performance, large-scale data architectures for data integration (batch and real-time), storage, processing, orchestration, and infrastructure;
- Collaborate on detailed design, architectural discussions, and customer requirements;
- Migrate from Azure Synapse to Azure Data Lake or other technologies;
- Develop schemas and data models to support modern analytics (descriptive to prescriptive);
- Evaluate and implement new technologies to improve data integration, processing, storage, and analysis;
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