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
Design scalable data pipelines
Etl/elt design and development
** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in developing and managing a cloud-based data environment, focusing on Microsoft Fabric. The role emphasizes building scalable data pipelines and collaborating with various stakeholders while ensuring data quality and compliance. **

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 position designs and delivers data solutions that have direct impact in supporting the University’s land-grant mission, student success initiatives, and operational excellence.
  • 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 to provide technical leadership in developing and managing a cloud-based data environment, focusing on Microsoft Fabric. The role emphasizes building scalable data pipelines and collaborating with various stakeholders while ensuring data quality and compliance. **

Salary

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

Skills & Requirements

Must-have

  • Microsoft Fabric development
  • design scalable data pipelines
  • ETL/ELT design and development
  • data lake and warehousing environment
  • Microsoft Azure experience

Nice-to-have

  • collaborative service-oriented environment
  • promote data engineering best practices
  • strong problem-solving skills
  • technical leadership
  • mentoring peers

Key Requirements

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

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter