Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
Microsoft fabric development
Data lake and warehousing
Scalable data pipelines
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

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

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.

Salary

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

Skills & Requirements

Must-have

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

Nice-to-have

  • Technical leadership and mentorship
  • Data quality and governance
  • Cloud-based data development
  • Collaborative environment

Key Requirements

  • Bachelor's degree from an accredited institution
  • Advanced knowledge of ETL/ELT design
  • Strong code analysis, debugging, and performance optimization skills
  • Experience ingesting, transforming, and managing large datasets
  • Working knowledge of change data capture (CDC)
  • Solid understanding of design principles (normalization, dimensional design)

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter