Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
Not specified
Microsoft fabric
Data lake and warehousing
Scalable data pipelines
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing a cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The role emphasizes building scalable data solutions that enhance enterprise analytics and supports the university's mission

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 benefits package including university contributions to insurance, tuition waivers, holidays, and retirement programs.

Matching Summary

Match Score: 85

The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing a cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The role emphasizes building scalable data solutions that enhance enterprise analytics and supports the university's mission.

Salary

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

Skills & Requirements

Must-have

  • Microsoft Fabric
  • Data Lake and Warehousing
  • Scalable Data Pipelines
  • ETL/ELT Design
  • Data Modeling
  • Code Reviews

Nice-to-have

  • Collaborative Environment
  • Service-Oriented
  • Data Governance Concepts
  • Microsoft Azure Experience

Key Requirements

  • Bachelor's degree required
  • Advanced ETL/ELT knowledge
  • Strong code analysis skills
  • Experience with large datasets
  • Change Data Capture (CDC) knowledge
  • Normalization and dimensional design understanding

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter