Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; not specified...
Microsoft fabric data lake and warehousing
Design and develop scalable data pipelines
Ingest data from enterprise systems
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.

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; Not specified

Skills & Requirements

Must-have

  • Microsoft Fabric data lake and warehousing
  • design and develop scalable data pipelines
  • ingest data from enterprise systems
  • implement robust data transformation logic
  • data quality checks and error handling
  • technical leadership and code reviews

Nice-to-have

  • collaborative service-oriented environment
  • advance the state and build a better world
  • promote a healthy work-life balance

Key Requirements

  • Bachelor's degree from an accredited institution
  • Advanced knowledge of ETL/ELT design
  • Strong code analysis, debugging, and performance optimization skills
  • Experience ingesting, transforming, and managing large datasets
  • Demonstrated ability to mitigate data quality issues
  • Working knowledge of change data capture (CDC)
  • Solid understanding of normalization and dimensional design

Work Rights

Must have proof of legal authority to work in the United States

Tailored Resume

Cover Letter