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Design and implement end-to-end data architecture solutions on Microsoft Azure, delivering proactive services and workshops to premier enterprise customers remotely in the US.
Responsibilities
- Design and implement end-to-end data architecture solutions on Microsoft Azure.
- Develop and manage ETL/ELT pipelines using Azure Data Factory.
- Architect and optimize Data Lake storage solutions for structured and unstructured data.
- Leverage Azure Databricks for big data processing, analytics, and machine learning workflows.
- Integrate Azure Machine Learning models into data pipelines and business applications.
- Design and maintain Azure SQL databases, ensuring performance, scalability, and security.
Requirements
- Proven experience as a Data Architect or similar role in a cloud-first environment.
- Strong proficiency in Azure Foundry, Data Factory, Data Lake, Databricks, and Azure SQL.
- Experience with Microsoft Fabric and its integration into enterprise data platforms.
- Solid understanding of machine learning concepts and deployment in Azure ML.
- Expertise in data modeling, data warehousing, and data governance.
- Familiarity with DevOps practices, CI/CD pipelines, and infrastructure-as-code.
Qualifications
- Proven experience as a Data Architect or similar role in a cloud-first environment.
Skills
DevOps
*
CI/CD
*
Microsoft Azure
*
Infrastructure-as-code
*
Azure Data Factory
*
Microsoft Fabric
*
Azure Databricks
*
Azure SQL
*
Azure Data Lake
*
Azure Machine Learning
*
* Required skills
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