Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
**
Microsoft fabric
Data pipelines
Data lake and warehousing
** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing a cloud-based data environment, primarily utilizing Microsoft Fabric. The ideal candidate should have a strong background in data engineering, ETL/ELT processes, and a collaborative approach to working with various stakeholders. **

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: 75

** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing a cloud-based data environment, primarily utilizing Microsoft Fabric. The ideal candidate should have a strong background in data engineering, ETL/ELT processes, and a collaborative approach to working with various stakeholders. **

Salary

$100,000 to $115,000; Not specified; Benefits eligible

Skills & Requirements

Must-have

  • Microsoft Fabric
  • data pipelines
  • data lake and warehousing
  • data modeling
  • ETL/ELT design and development

Nice-to-have

  • technical leadership
  • collaborative environment
  • service-oriented
  • cost efficiency

Key Requirements

  • Bachelor's degree
  • Advanced ETL/ELT knowledge
  • Strong code analysis skills
  • Experience with large datasets
  • Change data capture (CDC) concepts

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter