Base: $100,000 to $115,000; bonus/equity: not spec...
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Microsoft fabric
Data pipelines
Data warehousing
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The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership for their cloud-based data lake and warehouse environment, primarily using Microsoft Fabric. The ideal candidate will have extensive experience in ETL/ELT development and data pipeline management, ensuring high-quality data solutions that enhance the university's mission.
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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.
As an employer, the University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance.
Matching Summary
Match Score: 75
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The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership for their cloud-based data lake and warehouse environment, primarily using Microsoft Fabric. The ideal candidate will have extensive experience in ETL/ELT development and data pipeline management, ensuring high-quality data solutions that enhance the university's mission.
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Salary
Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: University contributions to health, dental, life and disability insurance, tuition waivers, 12 holidays, immediate leave accrual, retirement programs
Skills & Requirements
Must-have
Microsoft Fabric
data pipelines
data warehousing
ETL/ELT design
data modeling
code reviews
Nice-to-have
technical leadership
service-oriented environment
collaboration
data governance concepts
Microsoft Azure
Key Requirements
Bachelor's degree
Advanced ETL/ELT design and development
Strong code analysis, debugging, and performance optimization