Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; university co...
Microsoft fabric data lake and warehousing
Design and develop scalable data pipelines
Ingest data from enterprise systems
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 University of Arkansas offers a vibrant work environment and a workplace culture that promotes a healthy work-life balance, with a comprehensive benefits package.

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; 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.

Skills & Requirements

Must-have

  • Microsoft Fabric data lake and warehousing
  • Design and develop scalable data pipelines
  • Ingest data from enterprise systems
  • Implement robust data transformation logic
  • Enforce data quality and security standards
  • Technical leadership and code reviews

Nice-to-have

  • Collaborative and service-oriented environment
  • Promote data engineering best practices
  • Advance the University's land-grant mission

Key Requirements

  • Bachelor's degree
  • Advanced ETL/ELT design and development
  • Strong code analysis and debugging skills
  • Experience with large, complex datasets
  • Change data capture (CDC) concepts
  • Normalization and dimensional design principles

Work Rights

Must have proof of legal authority to work in the United States

Tailored Resume

Cover Letter