Azure Data Architect

SYSCOMSaint Paul, MN
Hybrid

About The Position

SYSCOM is seeking an experienced Azure Data Architect to support a major enterprise cloud modernization initiative. In this role, you'll lead the architecture and design of a modern Azure-based data environment, including data lakes, relational and non-relational databases, data integration, and enterprise data models. You'll work closely with technical and business teams to establish scalable, secure, and high-performing data solutions while providing architectural guidance and mentorship to architects and database engineers. This is an opportunity to play a key role in modernizing a complex legacy data environment and helping establish the foundation for a next-generation enterprise data platform.

Requirements

  • Approximately 10 years of experience in data architecture or data management.
  • Strong experience designing, developing, and implementing data lakes and relational and non-relational databases in Azure.
  • Strong experience with Databricks.
  • 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, Perl, and Azure CLI/PowerShell for infrastructure management.
  • Experience mentoring architects, engineers, or technical team members.
  • Experience developing and implementing backup and recovery strategies using tools such as Azure Backup or Geo-replication.
  • Experience with role-based access control (RBAC), encryption, and network security.
  • Knowledge of data concepts, data modeling, schema design, and indexing strategies.
  • Knowledge of Azure SQL instances, managed instances, and elastic pools.

Nice To Haves

  • Strong experience with Oracle databases.
  • Strong organizational and time management skills.
  • Knowledge of Data Warehouse Administration and Teradata Data Warehouse.

Responsibilities

  • Support the design and implementation of solutions to improve, modernize, and transform data-driven service delivery.
  • Ensure data assets are structured, accessible, secure, and aligned with enterprise goals and standards.
  • Recommend data platforms, technologies, and tools to support enterprise data architecture.
  • Develop enterprise data models.
  • Ensure data access patterns are optimized.
  • Maintain necessary technical and architectural documentation.
  • Coordinate with cross-functional teams to meet security and data governance standards.
  • Support the design and development of disaster recovery solutions.
  • Provide knowledge transfer and technical guidance to architects and database engineers.
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