Data Architect

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Requirements:

• Proven experience as a Data Architect with expertise in Microsoft Azure data services.
• Strong understanding of data management principles, data modeling, and data integration techniques.
• Hands-on experience with Azure Data Factory, Azure SQL, Cosmos DB, Azure Synapse Analytics, and other Azure cloud-based data tools.
• Proficiency in building and maintaining data pipelines, data lakes, and data warehouses.
• Experience with ETL processes and tools to automate and optimize data flows.
• Strong knowledge of SQL, as well as experience with NoSQL databases.
• Familiarity with data governance, security standards, and best practices for data architecture in cloud environments.
• Excellent problem-solving and analytical skills, with the ability to work in a fast-paced environment.
• Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field, or equivalent experience.

Responsibilities:

• Design and implement data architectures that support AI and machine learning solutions, ensuring scalability, reliability, and performance.
• Lead data integration efforts, including data pipelines, data warehouses, and data lakes, using Microsoft Azure services.
• Work closely with cross-functional teams to ensure that data architecture meets business and technical requirements.
• Optimize database performance, troubleshoot issues, and ensure data security and governance in compliance with industry standards.
• Implement ETL processes, and manage data storage solutions such as Azure SQL, Cosmos DB, or Data Lake Storage.
• Leverage Azure services like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks to build and maintain robust data pipelines.
• Maintain and document data models, architectural guidelines, and best practices to ensure consistent data architecture across projects.
• Monitor and optimize data architectures to improve efficiency and cost-effectiveness in Azure environments.
• Stay updated on new Azure data services and industry best practices.