Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; university co...
Not specified
Microsoft fabric expertise
Scalable data pipeline development
Etl/elt design and development
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing cloud-based data solutions, primarily using Microsoft Fabric. The role focuses on building scalable data pipelines and integrating data for analytics and reporting, while fostering a collaborative and innovative work environment

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 designing and developing cloud-based data solutions, primarily using Microsoft Fabric. The role focuses on building scalable data pipelines and integrating data for analytics and reporting, while fostering a collaborative and innovative work environment.

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 expertise
  • Scalable data pipeline development
  • ETL/ELT design and development
  • Data modeling and integration strategies
  • Data quality and error handling
  • Technical leadership and code reviews

Nice-to-have

  • Mentoring peers and promoting best practices
  • Collaborative and service-oriented environment
  • Familiarity with distributed processing frameworks
  • Understanding of data governance concepts

Key Requirements

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

Work Rights

Proof of legal authority to work in the United States

Tailored Resume

Cover Letter