$100,000 to $115,000; not specified; benefits elig...
Not specified
Microsoft fabric data lake and warehousing
Design and build scalable data pipelines
Etl/elt design and development
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and maintaining their cloud-based data infrastructure, primarily utilizing Microsoft Fabric. The role requires a blend of technical expertise in data engineering and the ability to collaborate with various stakeholders to optimize data solutions that support the university's mission
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
Match Score: 85
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and maintaining their cloud-based data infrastructure, primarily utilizing Microsoft Fabric. The role requires a blend of technical expertise in data engineering and the ability to collaborate with various stakeholders to optimize data solutions that support the university's mission.
Salary
$100,000 to $115,000; Not specified; Benefits eligible
Skills & Requirements
Must-have
Microsoft Fabric data lake and warehousing
Design and build scalable data pipelines
ETL/ELT design and development
Data ingestion from enterprise systems
Data transformation and modeling
Data quality and error handling
Cloud-based data development
Nice-to-have
Technical leadership and mentorship
Collaborative, service-oriented environment
Promote data engineering best practices
Work-life balance culture
Microsoft Azure experience
Key Requirements
Bachelor's degree from an accredited institution
Advanced knowledge of ETL/ELT design
Strong code analysis, debugging, and performance optimization skills
Experience managing large and complex datasets
Ability to mitigate data quality and pipeline reliability issues
Working knowledge of change data capture (CDC)
Solid understanding of data design principles
Proven track record in data engineering roles
Experience serving in a technical lead role
Work Rights
Must have proof of legal authority to work in the United States