Data Platform Engineer

Jobtailor; Knoxville (TN); On-site; USD 140,000 - 180,000; Full time

Job summary

Jobtailor seeks a Senior Data Platform Architect to lead architecture, administration, and modernization of enterprise data platforms across on-premises and cloud environments, with emphasis on Microsoft Fabric and Azure data services. You will manage SQL Server deployments, build robust data pipelines, and support lakehouses and data warehouses.

You will mentor staff, collaborate with governance teams, and ensure security, quality, and scalable solutions that drive analytic and AI workloads.

Qualifications

• Bachelor's degree or higher in CS/IT/Data Analytics or related field.
• 5+ years designing, administering, and supporting enterprise data platforms, databases, data warehouses, and data integration.
• Strong expertise in Microsoft Fabric administration.
• Strong expertise in Microsoft SQL Server administration, performance tuning, and security.
• Experience with Azure data services (Azure SQL, Data Factory, OneLake).
• Experience in on-premises and cloud environments.
• Legally authorized to work in the United States without sponsorship.
• Resume and cover letter required for application.

Responsibilities

• 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.
• Design, develop, and support enterprise data solutions using Microsoft Fabric, OneLake, Azure SQL, Data Factory, Dataflows, and related technologies.
• Build and maintain data pipelines supporting operational, reporting, analytics, and AI workloads.
• Collaborate with analysts and governance teams to deliver trusted, reusable data assets.

Skills

Microsoft Fabric Administration

SQL Server Administration

Azure Data Services

Data Engineering

Data Governance

Data Modeling

Education

Bachelor's degree or higher in CS/IT/Data Analytics or related field

Tools

Power BI

OneLake

Azure SQL

Data Factory

Job description

• 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, workspaces, and related platform services
• Maintain Fabric workspaces 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, OneLake, 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 lakehouses, 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 OneLake
• Design and optimize lakehouses, 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

Requirements

• 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 OneLake
• 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

Core Competencies

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.

Highest-signal resume keywords

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

Hard Skills

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

Soft Skills

• Technical Leadership
• Collaboration
• Mentoring

Industry Keywords

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

Tools & Technologies

• Microsoft Fabric
• Azure SQL
• Data Factory
• OneLake
• Power BI