Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; university co...
Not specified
Microsoft fabric development
Scalable data pipelines
Etl/elt design and development
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in developing and operating cloud-based data solutions, primarily using Microsoft Fabric. The ideal candidate will have a strong background in data engineering, particularly in ETL processes and data quality management, and will work collaboratively with various stakeholders to enhance data analytics capabilities at the institution

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 developing and operating cloud-based data solutions, primarily using Microsoft Fabric. The ideal candidate will have a strong background in data engineering, particularly in ETL processes and data quality management, and will work collaboratively with various stakeholders to enhance data analytics capabilities at the institution.

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 choice of retirement programs.

Skills & Requirements

Must-have

  • Microsoft Fabric development
  • Scalable data pipelines
  • ETL/ELT design and development
  • Data quality and reliability
  • Code reviews and best practices

Nice-to-have

  • Collaborative environment
  • Service-oriented approach
  • Work-life balance promotion

Key Requirements

  • Bachelor's degree
  • 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 in the United States

Tailored Resume

Cover Letter