Position Summary
We are seeking a Senior Data Platform Engineer to lead the engineering, administration, optimization, and modernization of a large-scale Microsoft data platform ecosystem. This role will play a critical part in ensuring enterprise data environments are reliable, secure, high-performing, and positioned to support ongoing cloud transformation initiatives.
The ideal candidate brings deep expertise in SQL Server administration, Microsoft Fabric, Azure data services, and enterprise data platform architecture. While day-to-day administration is important, this position is heavily focused on engineering, implementation, automation, and long-term platform strategy. You will partner closely with infrastructure, application, analytics, finance, and business stakeholders to deliver scalable data solutions that drive operational and business success.
Key Responsibilities
Administer, monitor, and optimize SQL Server, Azure SQL Database, and Azure SQL Managed Instance environments to ensure performance, availability, and security
Design, implement, and support Microsoft Fabric solutions including OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows, Semantic Models, and Fabric Workspaces
Develop and maintain scalable ETL and ELT processes to support enterprise data integration and analytics initiatives
Manage backup, recovery, disaster recovery, and high availability solutions including Always On Availability Groups, clustering, replication, and cloud-based resiliency strategies
Troubleshoot and resolve complex database, platform, and data integration issues across on premises, hybrid, and cloud environments
Support Dynamics GP and Dynamics 365 data platforms including integrations, reporting, migration efforts, and data modernization initiatives
Automate operational processes using PowerShell, Azure DevOps, and deployment automation best practices
Partner with analytics, infrastructure, cybersecurity, and business teams to deliver secure, governed, and scalable enterprise data solutions
Key Requirements
7+ years of experience in SQL Server database administration, data platform engineering, or enterprise data platform support
3+ years of hands on experience with Azure data services including Azure SQL Database, Azure SQL Managed Instance, and Azure Data Factory
Strong experience implementing and supporting Microsoft Fabric components including OneLake, Lakehouse, Data Warehouse, Data Pipelines, Dataflows, and Semantic Models
Advanced knowledge of SQL Server performance tuning, query optimization, indexing, troubleshooting, backup and recovery strategies
Experience supporting high availability and disaster recovery architectures within hybrid cloud environments
Expertise in ETL and ELT development, data integration, and enterprise data platform architecture
Experience supporting Dynamics GP and or Dynamics 365 data environments, integrations, and reporting platforms
Proficiency with PowerShell scripting, automation, and operational process improvement
Knowledge of data governance, security controls, access management, auditing, encryption, and compliance best practices
Strong communication skills with the ability to effectively collaborate with both technical and nontechnical stakeholders
Preferred Qualifications
Microsoft Certified Azure Database Administrator Associate certification
Microsoft Certified Azure Data Engineer Associate certification
Microsoft Fabric Data Engineer Associate certification highly preferred
Experience supporting enterprise Power BI environments and semantic model management
Experience with Azure DevOps, CI CD pipelines, Git based deployment practices, and infrastructure as code concepts
Experience with Microsoft Purview, enterprise data governance, and data cataloging initiatives
Experience supporting ERP modernization efforts and Dynamics GP to Dynamics 365 migration projects
Proven ability to mentor database administrators, data engineers, analysts, and technical teams