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
Cloud-based data lake
Scalable data pipelines
** The University of Arkansas is hiring a Lead Analytics Solutions Engineer to lead the design, development, and operation of its cloud-based data lake and warehousing environment, with a focus on Microsoft Fabric. The ideal candidate will have extensive technical expertise in data engineering, particularly in building scalable data pipelines and ensuring data quality. This position offers a vibrant work environment with a comprehensive benefits package. **

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 hiring a Lead Analytics Solutions Engineer to lead the design, development, and operation of its cloud-based data lake and warehousing environment, with a focus on Microsoft Fabric. The ideal candidate will have extensive technical expertise in data engineering, particularly in building scalable data pipelines and ensuring data quality. This position offers a vibrant work environment with a comprehensive benefits package. **

Salary

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

Skills & Requirements

Must-have

  • Microsoft Fabric
  • cloud-based data lake
  • scalable data pipelines
  • data transformation logic
  • data quality checks
  • data governance and security

Nice-to-have

  • technical leadership
  • mentoring peers
  • collaborative environment
  • service-oriented approach
  • work-life balance

Key Requirements

  • Bachelor's degree
  • Advanced ETL/ELT design and development
  • Strong code analysis, debugging, and performance optimization
  • Experience managing large and complex datasets
  • Experience with change data capture (CDC)
  • Solid understanding of normalization and dimensional design

Work Rights

Proof of legal authority to work in the US

Tailored Resume

Cover Letter