Senior Data Architect

Job Title: Senior Data/Database Architect Company: Programming.com Location: On-site Employment Type: Full-time Job Overview: Programming.com is looking for a highly skilled Data Architect to design, implement, and optimize our data infrastructure. As a Data Architect, you will be responsible for developing data models, ensuring data integrity, and creating scalable database solutions to support business needs. You will work closely with data engineers, analysts, and software developers to design and maintain high-performing data systems. Responsibilities Design and implement migration strategies to modernize legacy SQL databases to Azure PaaS (Azure SQL, Azure Managed Instance). Develop and optimize data architectures for scalable, high-performance solutions on Azure. Configure and manage Cosmos DB for NoSQL workloads, ensuring performance, consistency, and scalability. Implement and optimize Azure Data Lakes for large-scale data storage, processing, and analytics. Architect and implement data pipelines to integrate and transform data into enterprise-ready solutions using tools such as Azure Data Factory and Synapse Analytics. Provide expertise in database performance tuning, optimization, and monitoring for cloud-based environments. Design and manage end-to-end data workflows, including ingestion, transformation, and reporting layers. Collaborate with stakeholders to gather requirements and design data architectures that meet business needs. Ensure data security, compliance, and governance across all data solutions. Stay updated on emerging Azure services and tools, providing recommendations to enhance the organization's data architecture strategy. Qualifications 7 years in database architecture, data engineering, or a similar role. Extensive experience migrating legacy SQL databases (e.g., MS SQL Server, Oracle) to Azure PaaS solutions. Technical Skills: Strong expertise in Azure SQL Database and Azure SQL Managed Instance. Proficiency in configuring and managing Cosmos DB for NoSQL applications. Hands-on experience with Azure Data Lake Storage for scalable data storage and analytics. Knowledge of modern data warehousing tools such as Azure Synapse Analytics, Snowflake, or Redshift. Expertise in data pipeline design using tools like Azure Data Factory and Databricks. Familiarity with database monitoring and performance tuning tools in Azure. Strong scripting and query optimization skills using T-SQL, Python, PowerShell. Knowledge on EDI /ECP protocol is desired. Cloud Expertise: Deep understanding of Azure cloud services, including networking, storage, and security.

Location: Guadalajara, MX

Posted Date: 4/26/2025