Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, US
$100,000 to $115,000; not specified; university co...
Microsoft fabric data lakehouse
Design scalable data pipelines
Etl/elt design and development
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 including tuition waivers and retirement contributions.

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, 12 holidays, immediate leave accrual, and retirement programs

Skills & Requirements

Must-have

  • Microsoft Fabric data lakehouse
  • design scalable data pipelines
  • ETL/ELT design and development
  • data transformation logic
  • data quality checks
  • technical leadership

Nice-to-have

  • Microsoft Azure experience
  • Workday data ingestion
  • distributed processing frameworks
  • data governance concepts

Key Requirements

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

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter