Data Solutions Architect
1 week ago
Overview
A leading organization in enterprise transformation architecture, Marx Enterprise is seeking an experienced Data Solutions Architect to spearhead the design and implementation of robust, scalable, and efficient cloud-based architectures. With a focus on data management, transformation, and analytics, this role demands expertise in Azure Data Factory, Databricks, and Python.
Job Description:
The ideal candidate will have at least 10 years of experience in data engineering/architecture with 3+ years of hands-on Azure experience. Key responsibilities include architecting Azure-Based Data Solutions, developing scalable pipelines using Azure Data Factory and Databricks, and ensuring seamless data flow across data lakes, warehouses, and analytics platforms.
Technical Requirements:
- Strong knowledge of Azure microservices: Functions, Service Bus, Event Grids, Event Hubs, and APIM.
- Deep understanding of Azure data components: Data Lake, Synapse Analytics, and related services.
- Proficiency in Python for data manipulation, analytics, and building reusable modules.
- Familiarity with CI/CD pipelines and Azure DevOps for deployment.
Compensation:
We offer a competitive salary of $150,000 - $200,000 per year, commensurate with experience and qualifications. The successful candidate will be part of a dynamic team that prioritizes innovation, collaboration, and excellence in data solutions.
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