$100,000 to $115,000; not specified; university co...
Microsoft fabric development
Scalable data pipelines
Etl/elt design and development
The Lead Analytics Solutions Engineer provides technical leadership for the design, development, and ongoing operation of the University’s cloud-based data lake and warehousing environment, with a primary focus on Microsoft Fabric
Job Summary
The Lead Analytics Solutions Engineer provides technical leadership for the design, development, and ongoing operation of the University’s cloud-based data lake and warehousing environment, with a primary focus on Microsoft Fabric.
This role is responsible for building scalable, reliable data pipelines and integration solutions that enable enterprise analytics and reporting across academic and administrative units.
The University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance, with a comprehensive benefits package.
Matching Summary
The Lead Analytics Solutions Engineer provides technical leadership for the design, development, and ongoing operation of the University’s cloud-based data lake and warehousing environment, with a primary focus on Microsoft Fabric.
Salary
$100,000 to $115,000; Not specified; University contributions to health, dental, life and disability insurance, tuition waivers, 12 holidays, immediate leave accrual, and choice of retirement programs
Skills & Requirements
Must-have
Microsoft Fabric development
Scalable data pipelines
ETL/ELT design and development
Data modeling and integration strategies
Data quality and error handling
Nice-to-have
Technical leadership and mentorship
Cloud-based data development
Collaborative environment
Service-oriented approach
Key Requirements
Bachelor's degree from an accredited institution
Advanced knowledge of ETL/ELT design
Strong code analysis, debugging, and performance optimization skills
Experience ingesting, transforming, and managing large datasets
Working knowledge of change data capture (CDC)
Solid understanding of design principles (normalization, dimensional design)