Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
Not specified (assumed to be hybrid based on typical university roles)
Microsoft fabric data lake and warehousing
Design and develop scalable data pipelines
Ingest data from enterprise systems
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing cloud-based data solutions, primarily using Microsoft Fabric. The ideal candidate will have a strong background in ETL/ELT processes, data engineering, and cloud computing, along with excellent problem-solving skills

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.

Matching Summary

Match Score: 85

The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing cloud-based data solutions, primarily using Microsoft Fabric. The ideal candidate will have a strong background in ETL/ELT processes, data engineering, and cloud computing, along with excellent problem-solving skills.

Salary

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

Skills & Requirements

Must-have

  • Microsoft Fabric data lake and warehousing
  • design and develop scalable data pipelines
  • ingest data from enterprise systems
  • implement data transformation logic
  • enforce data quality checks
  • Microsoft Azure cloud development

Nice-to-have

  • technical leadership and mentoring
  • collaborative service-oriented environment
  • support analytics and reporting tools
  • familiarity with distributed processing frameworks

Key Requirements

  • Bachelor's degree from accredited institution
  • Advanced ETL/ELT design and development
  • Strong code analysis, debugging, performance optimization
  • Experience with large and complex datasets
  • Ability to mitigate data quality issues
  • Working knowledge of change data capture (CDC)
  • Solid understanding of normalization and dimensional design

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter