NYTP Requirement for Azure Data Architect top 7 in Dallas, TX Hybrid on Contract

An Azure Data Architect is a professional who specializes in designing and implementing data solutions on the Microsoft Azure cloud platform. This role involves understanding an organization’s data needs, architecting scalable and efficient data solutions, and leveraging Azure services to achieve business goals. Here are some key aspects of the role:

1. Data Architecture Design:
   • Data Modeling: Designing the structure of databases, data warehouses, and data lakes.
   • Schema Design: Defining how data is organized, stored, and accessed within the Azure environment.
2. Azure Services Expertise:
   • Azure SQL Database: Implementing and optimizing relational databases in Azure.
   • Azure Data Lake Storage: Designing and managing scalable data lakes.
   • Azure Synapse Analytics (formerly SQL Data Warehouse): Architecting and optimizing large-scale analytics solutions.
   • Azure Databricks: Implementing big data and machine learning solutions.
   • Azure Cosmos DB: Designing globally distributed, multi-model databases.
3. Data Integration:
   • Azure Data Factory: Creating data pipelines for extracting, transforming, and loading (ETL) data.
   • Azure Logic Apps: Automating workflows and integrations between different services.
4. Data Security and Compliance:
   • Ensuring that data solutions comply with industry regulations and best practices.
   • Implementing security measures to protect sensitive data.
5. Performance Optimization:
   • Tuning and optimizing databases and queries for better performance.
   • Scaling solutions to handle growing data volumes.
6. Data Governance:
   • Establishing data governance policies and procedures.
   • Ensuring data quality, integrity, and reliability.
7. Collaboration and Communication:
   • Working closely with data engineers, data scientists, and other stakeholders to understand requirements.
   • Communicating effectively with team members and business leaders.
8. Continuous Learning:
   • Staying up-to-date with the latest Azure services and features.
   • Keeping abreast of industry trends and best practices in data architecture.
9. Problem Solving:
   • Troubleshooting issues related to data architecture and providing solutions.
   • Identifying and addressing performance bottlenecks and data-related challenges.
10. Documentation:
    • Documenting the data architecture, design decisions, and us staffing best practices.
    • Providing documentation for troubleshooting and future reference.

A successful Azure Data Architect needs a combination of technical skills, business acumen, and the ability to collaborate with cross-functional teams. They play a crucial role in helping organizations harness the power of their data to make informed decisions and gain a competitive edge.