$100,000 to $115,000; not specified; benefits elig...
Not specified
Microsoft fabric
Scalable data pipelines
Data ingestion
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the design and operation of a cloud-based data lake and warehousing environment. The ideal candidate will have strong expertise in ETL/ELT, data pipeline development, and a collaborative spirit to work with various stakeholders in a service-oriented environment
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 benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.
Matching Summary
Match Score: 85
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the design and operation of a cloud-based data lake and warehousing environment. The ideal candidate will have strong expertise in ETL/ELT, data pipeline development, and a collaborative spirit to work with various stakeholders in a service-oriented environment.
Salary
$100,000 to $115,000; Not specified; Benefits eligible
Skills & Requirements
Must-have
Microsoft Fabric
scalable data pipelines
data ingestion
data transformation
data quality checks
data governance
cloud-based data lake
Nice-to-have
technical leadership
collaborative environment
service-oriented
cost efficiency
change data capture
Key Requirements
Bachelor's degree
Advanced ETL/ELT design and development
Strong code analysis, debugging, and performance optimization
Experience with large and complex datasets
Ability to mitigate data quality and pipeline reliability issues
Working knowledge of change data capture (CDC)
Solid understanding of normalization and dimensional design
Work Rights
Proof of legal authority to work in the United States