Azure Database Engineer / Azure Data Platform Engineer

Micro Systems Consultants Inc•,

4d•$120 - $140

About The Position

MicroSystems Automation Group (MSAG), a small business providing management consulting, information technology, and physical solutions since 1987, is seeking a seasoned Azure Database Engineer to lead a large-scale modernization and cloud transformation initiative. The role will migrate an on-premises database ecosystem into Azure Government Cloud and design, implement, and support Azure-based database solutions, emphasizing automation, infrastructure as code, database operations, data movement, and platform reliability. The engineer will help shape a secure, operationally efficient future-state data platform and support compliance with FIPS 800-53 and Azure Government Cloud security requirements from architecture through ongoing operations. The role also involves re-engineering the legacy reporting architecture into an Azure-native platform using Azure Data Factory and related data services. The ideal candidate is a hands-on engineer able to bridge traditional database administration and modern cloud engineering, own database infrastructure and operations, and partner with application and solution architects. MSAG is an Equal Opportunity Employer. Full-time employees are eligible for paid company benefits, paid time off, sick leave, and federal/national holiday pay.

Requirements

At least 7 years of SQL Server database engineering experience.
At least 3 years of Azure database platform experience.
Strong expertise with Azure SQL Managed Instance.
Strong SQL Server administration and performance tuning skills.
Experience with Azure Data Factory and SHIR.
Experience automating database deployments and operational processes.
Experience with Infrastructure as Code using Bicep or Terraform.
Experience with Azure DevOps CI/CD pipelines.
Experience implementing database refresh, masking, and data protection solutions.
Strong understanding of backup, recovery, high availability/disaster recovery, and database security practices.
Experience supporting production-critical database environments.

Nice To Haves

Experience in Azure Government Cloud environments.
Experience supporting FedRAMP or other regulated environments.
Experience with Redgate tools, DbUp, or database DevOps practices.
Experience with reporting databases, data warehousing, star schema design, and data integration architectures.
Experience with Power BI, Synapse Analytics, or Azure data platform services.
Experience working in modernization and cloud migration initiatives.
Hands-on experience redesigning or migrating a legacy reporting or ETL architecture to Azure, such as ADF, Elastic Jobs, or Azure SQL-based reporting databases.

Responsibilities

Design, implement, and support Azure SQL Managed Instance environments.
Develop and maintain Infrastructure as Code using Bicep or Terraform for database infrastructure deployment.
Automate database provisioning, backup, restore, refresh, and migration processes.
Design and implement database refresh strategies across Production, Staging, and Development, including data masking and obfuscation.
Build and maintain database deployment CI/CD pipelines using Azure DevOps.
Design and support data integration solutions using Azure Data Factory, Self-Hosted Integration Runtime (SHIR), Elastic Jobs, and related Azure data services.
Implement monitoring, alerting, performance tuning, capacity planning, and operational support processes.
Collaborate with application architects and development teams on database architecture, schema design, and modernization initiatives.
Support reporting and analytics platforms through data synchronization, transformation, and reporting database design.
Establish database governance, security, backup and recovery, disaster recovery, and operational standards.
Troubleshoot and resolve complex database performance, availability, and operational issues.
Assess existing reports, stored procedures, and ETL processes, then design and build a modernized reporting data layer with ADF pipelines, Elastic Jobs, and reporting-optimized schemas.
Lead rationalization and migration of legacy reports to the new platform, including retiring redundant or obsolete reports, validating data parity, and supporting BI tool integration.