Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
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Microsoft fabric development
Data lake and warehousing
Scalable data pipelines
** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to oversee the design and development of its cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The ideal candidate will possess strong technical skills in data engineering, specifically in ETL processes, and will lead a collaborative team while ensuring high-quality data solutions that support the university's mission. **

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: 75

** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to oversee the design and development of its cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The ideal candidate will possess strong technical skills in data engineering, specifically in ETL processes, and will lead a collaborative team while ensuring high-quality data solutions that support the university's mission. **

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 quality and governance
  • Cloud-based data environment

Nice-to-have

  • Technical leadership and mentoring
  • Collaborative environment
  • Service-oriented approach
  • Strong problem-solving skills

Key Requirements

  • Bachelor's degree required
  • Advanced ETL/ELT knowledge
  • Strong code analysis skills
  • Experience with large datasets
  • Change data capture knowledge
  • Normalization and dimensional design understanding

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter