Base: $100,000 to $115,000; bonus/equity: not spec...
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Microsoft fabric development
Design scalable data pipelines
Ingest data from enterprise systems
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The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and maintaining its cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The ideal candidate should have advanced expertise in data engineering, including ETL/ELT processes and experience with large datasets.
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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: 75
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The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and maintaining its cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The ideal candidate should have advanced expertise in data engineering, including ETL/ELT processes and experience with large datasets.
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Salary
Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: University contributions to insurance, tuition waivers, holidays, leave accrual, retirement programs
Skills & Requirements
Must-have
Microsoft Fabric development
design scalable data pipelines
ingest data from enterprise systems
implement data transformation logic
data quality checks and validation
data governance and security compliance
Nice-to-have
technical leadership and mentoring
collaborative service-oriented environment
strong problem-solving skills
cost efficiency optimization
Key Requirements
Bachelor's degree from accredited institution
Advanced ETL/ELT design and development
Strong code analysis and debugging skills
Experience with large, complex datasets
Working knowledge of change data capture (CDC)
Solid understanding of database design principles
Work Rights
Proof of legal authority to work in the United States