Negotiable
Undetermined
Undetermined
Manchester Area, United Kingdom
Summary: The Azure Cloud Data Architect role focuses on designing and implementing modern data platforms on Azure, emphasizing scalable data solutions and best practices. The position requires hands-on experience with various Azure services, including data pipeline architecture and integrations. The architect will lead the development of data models and ensure efficient data flow across systems. This role is critical for organizations looking to leverage cloud data systems effectively.
Key Responsibilities:
- Design and architect data platforms using Azure Databricks (PySpark), Data Lake, and Data Warehouse.
- Build and manage data pipelines using Azure Data Factory.
- Design integrations using Azure API Management, Function Apps, and Logic Apps.
- Implement event-driven architectures with Event Hub, Service Bus, Cosmos DB, and serverless services.
- Create and maintain strong data models and ensure efficient data flow across systems.
Key Skills:
- Azure Databricks, PySpark
- Azure Data Factory
- Azure API Management
- Azure Function Apps & Logic Apps
- Event-driven architecture (Event Hub, Service Bus, Cosmos DB)
- Data modeling, Data Lake, Data Warehouse
Salary (Rate): undetermined
City: Manchester Area
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
We are looking for an Azure Cloud Data Architect with strong hands-on experience in building modern data platforms on Azure. The role involves designing scalable data solutions, leading data pipeline architecture, and ensuring best practices across cloud data systems.
Key Responsibilities:
- Design and architect data platforms using Azure Databricks (PySpark), Data Lake, and Data Warehouse.
- Build and manage data pipelines using Azure Data Factory.
- Design integrations using Azure API Management, Function Apps, and Logic Apps.
- Implement event-driven architectures with Event Hub, Service Bus, Cosmos DB, and serverless services.
- Create and maintain strong data models and ensure efficient data flow across systems.
Must-Have Skills:
- Azure Databricks, PySpark
- Azure Data Factory
- Azure API Management
- Azure Function Apps & Logic Apps
- Event-driven architecture (Event Hub, Service Bus, Cosmos DB)
- Data modeling, Data Lake, Data Warehouse
Nice to Have:
- Experience with Dremio