Senior Cloud Data Architect
9 hours ago
At Marx Enterprise Transformation Architecture, we are seeking a highly experienced Senior Cloud Data Architect to lead our team in designing and implementing robust, scalable, and efficient cloud-based architectures.
Salary: $180,000 - $220,000 per year
We are looking for an exceptional individual with extensive experience working with Azure Data Factory (ADF), Databricks, and Python. The ideal candidate will have a deep understanding of Azure microservices and data components.
About the RoleThis is a key position in our organization that focuses exclusively on data management, transformation, and analytics. As a Senior Cloud Data Architect, you will be responsible for:
- Architecting Azure-Based Data Solutions: Design and implement Azure cloud architectures for data integration, processing, and analytics.
- Developing Scalable Pipelines: Develop scalable, secure, and cost-efficient pipelines using Azure Data Factory and Databricks.
- Ensuring Seamless Data Flow: Ensure seamless data flow and transformation across data lakes, warehouses, and analytics platforms.
- Microservices Development: Build and manage Azure Microservices, including Functions, Service Bus, Event Grids, and Event Hubs.
- Implementing API Management: Implement API Management (APIM) for secure and efficient data access and communication.
Requirements
- Experience: 10+ years in data engineering/architecture with at least 3 years of hands-on Azure experience.
- Proven Expertise: Proven expertise in Azure Data Factory, Databricks, and Python.
- Technical Skills: Strong knowledge of Azure microservices: Functions, Service Bus, Event Grids, Event Hubs, and APIM.
- Soft Skills: Excellent problem-solving and analytical abilities. Strong communication and collaboration skills with diverse stakeholders.
Become Part of Our Team
If you are passionate about cloud data architecture and have a drive to innovate, we encourage you to apply for this exciting opportunity.
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