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 the design and development of a cloud-based data lake and warehousing environment, primarily focusing on Microsoft Fabric. This role involves building scalable data pipelines and collaborating with campus stakeholders to enhance data solutions in support of 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 comprehensive benefits package.

Matching Summary

Match Score: 85

The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the design and development of a cloud-based data lake and warehousing environment, primarily focusing on Microsoft Fabric. This role involves building scalable data pipelines and collaborating with campus stakeholders to enhance data solutions in support of 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
  • enterprise analytics and reporting
  • data modeling and system architecture
  • data quality checks and validation

Nice-to-have

  • technical leadership and mentorship
  • collaborative service-oriented environment
  • healthy work-life balance
  • Microsoft Azure experience

Key Requirements

  • Bachelor's degree from accredited institution
  • Advanced knowledge of ETL/ELT design
  • Strong code analysis and debugging skills
  • Experience with large, complex datasets
  • Working knowledge of change data capture (CDC)
  • Solid understanding of design principles

Work Rights

Not specified

Tailored Resume

Cover Letter