Data Platform Engineer

• Architect, administer, and modernize enterprise data platforms across on-premises and cloud environments
• Manage SQL Server environments, including installation, upgrades, migrations, performance tuning, monitoring, automation, security, and compliance
• Administer and support Microsoft Fabric capacities, work spaces, and related platform services
• Maintain Fabric work spaces serving as departmental and enterprise data marts, ensuring performance, security, governance, and lifecycle management
• Develop operational standards and automation to improve platform reliability, scalability, and efficiency
• Design, develop, and support enterprise data solutions using Microsoft Fabric, One Lake, Azure SQL, Data Factory, Dataflows, and related technologies
• Build and maintain data pipelines supporting operational, reporting, analytics, and AI workloads
• Develop integration solutions connecting ERP systems, Oracle OCI, SQL Server, cloud platforms, and other enterprise applications
• Support lake houses, warehouses, semantic models, and reusable data products
• Design and maintain data models for reporting, analytics, AI, and enterprise data products
• Implement and support Medallion Architecture and enterprise data standards within Fabric and One Lake
• Design and optimize lake houses, warehouses, semantic models, and Power BI datasets
• Promote data quality, metadata management, lineage, governance, and stewardship practices
• Partner with analysts, business stakeholders, and governance teams to deliver trusted, reusable data assets
• Collaborate with infrastructure, security, application, and cloud teams
• Provide technical leadership for database design, integrations, platform modernization, and performance optimization initiatives
• Support enterprise projects, vendor implementations, and cross-functional technology initiatives
• Serve as a subject matter expert for data platforms, database technologies, Microsoft Fabric, data engineering, and analytics
• Lead platform modernization, cloud adoption, and enterprise data initiatives
• Establish standards, best practices, and governance frameworks
• Mentor technical staff and evaluate emerging technologies

• Bachelor's degree in Computer Science, Information Technology, Data Analytics, or a related field; or equivalent combination of education and experience
• 5+ years of experience designing, administering, and supporting enterprise data platforms, databases, data warehouses, and data integration
• Strong expertise in Microsoft Fabric administration and engineering
• Strong expertise in Microsoft SQL Server administration, performance tuning, and security
• Expertise in Azure data services, including Azure SQL, Data Factory, and One Lake
• Enterprise data platform architecture experience across on-premises and cloud environments
• Experience designing and supporting enterprise-scale, mission-critical data platforms and analytics environments
• Knowledge of data engineering and integration patterns
• Knowledge of data modeling, data warehousing, and Medallion Architecture
• Knowledge of data governance, lineage, metadata management, and data quality practices
• Knowledge of platform automation, monitoring, and operational support
• Experience working in complex enterprise environments integrating multiple cloud, database, ERP, and business application platforms
• Legally authorized to work in the United States on a full-time basis without need now or in the future for sponsorship for employment-based visa status
• Resume and cover letter required for application

Demonstrates expertise in architecting and modernizing enterprise data platforms, with a strong focus on Microsoft Fabric, SQL Server, and Azure data services. Capable of implementing data governance, quality practices, and operational standards to enhance platform reliability and efficiency.

• Microsoft Fabric Administration
• SQL Server Administration
• Azure Data Services
• Data Engineering
• Data Governance

• Enterprise Data Platform Architecture
• Data Warehousing
• Data Integration
• Performance Tuning
• Data Modeling
• Medallion Architecture
• Automation
• Monitoring
• Data Quality Practices
• Data Pipelines

• Technical Leadership
• Collaboration
• Mentoring

• Data Governance
• Metadata Management
• Data Lineage
• Cloud Environments
• ERP Integration

• Microsoft Fabric
• Azure SQL
• Data Factory
• One Lake
• Power BI