Azure Database Architect

Virtelligence • St. Paul, MN

3d

About The Position

This role focuses on supporting the design and implementation of data-driven service delivery improvements, modernization, and transformation. The Azure Database Architect will ensure data assets are structured, accessible, secure, and aligned with organizational goals. This includes recommending data platforms and tools, developing data models, optimizing data access patterns, and maintaining documentation. The position also involves coordinating with teams to meet security standards, supporting disaster recovery solutions, and providing knowledge transfer.

Requirements

• Strong experience with designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
• Strong experience with Databricks.
• Strong experience with Oracle databases.
• Experience developing and implementing data transformation solutions and cloud infrastructure integrations.
• Experience coding and testing programs and scripts to load data using Azure data load utilities.
• Experience with CI/CD pipelines.
• Experience with cloud computing concepts.
• Experience with tools such as Azure Monitor, Azure Data Factory, SQL Analytics, Query Performance Insight, Azure Resource Manager, Pearl, and Azure CLI/PowerShell for infrastructure management.
• Experience in mentoring others in the needed technologies.
• Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
• Experience with role-based access control, encryption, and network security.
• Strong organizational and time management skills.
• Desired 10 years’ experience in data architecture or data management.
• Knowledge of data concepts, data modeling, schema design, and indexing strategies.
• Knowledge of Azure SQL instances, managed instances, and elastic pools.
• Knowledge of Data Warehouse Administration and Teradata Data Warehouse.

Responsibilities

• Support design and implementation to improve, modernize, and transform data-driven service delivery.
• Ensure data assets are structured, accessible, secure, and align with DCYF, MNIT, and Enterprise goals.
• Recommend data platforms and tools to support enterprise data architecture.
• Develop data models.
• Ensure data access patterns are optimized.
• Maintain necessary documentation.
• Coordinate with necessary teams to meet security standards.
• Support design and development of disaster recovery solutions.
• Provide knowledge transfer.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed