Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
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Microsoft fabric
Data lake and warehousing
Scalable data pipelines
** The University of Arkansas is seeking a Lead Analytics Solutions Engineer, responsible for designing and developing the university's cloud-based data infrastructure, primarily utilizing Microsoft Fabric. The ideal candidate will have strong technical skills in data engineering, experience with ETL/ELT processes, and the ability to lead and mentor within a collaborative environment. **

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 seeking a Lead Analytics Solutions Engineer, responsible for designing and developing the university's cloud-based data infrastructure, primarily utilizing Microsoft Fabric. The ideal candidate will have strong technical skills in data engineering, experience with ETL/ELT processes, and the ability to lead and mentor within a collaborative environment. **

Salary

Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: University contributions to insurance, tuition waivers, 12 holidays, leave accrual, retirement programs

Skills & Requirements

Must-have

  • Microsoft Fabric
  • data lake and warehousing
  • scalable data pipelines
  • ETL/ELT design and development
  • data quality and reliability

Nice-to-have

  • technical leadership
  • collaborative environment
  • service-oriented
  • problem-solving skills

Key Requirements

  • Bachelor's degree
  • Advanced knowledge of ETL/ELT
  • Strong code analysis skills
  • Experience with large datasets
  • Working knowledge of CDC
  • Solid understanding of design principles

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter