Apply📍 Mexico
🧭 Full-Time
🔍 AI consulting and custom software development
- 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.
- 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.
SQLApache AirflowApache HadoopArtificial IntelligenceETLHadoopMachine LearningMicrosoft AzureAirflowAzureData scienceNosqlSparkAnalytical Skills
Posted 2024-10-23
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