Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
Onsite
Microsoft fabric data lake and warehousing
Design scalable data pipelines
Ingest data from enterprise systems
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the development and operation of their cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The ideal candidate will have strong skills in data engineering, particularly in ETL/ELT processes, and will work closely with various stakeholders to enhance data solutions that support 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 benefits package includes university contributions to health, dental, life and disability insurance, tuition waivers for employees and their families, 12 official holidays, immediate leave accrual, and a choice of retirement programs with university contributions ranging from 5 to 10% of employee salary.

Matching Summary

Match Score: 85

The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the development and operation of their cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The ideal candidate will have strong skills in data engineering, particularly in ETL/ELT processes, and will work closely with various stakeholders to enhance data solutions that support the university’s mission.

Salary

Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: Health, dental, life, disability insurance, tuition waivers, 12 holidays, leave accrual, retirement programs

Skills & Requirements

Must-have

  • Microsoft Fabric data lake and warehousing
  • Design scalable data pipelines
  • Ingest data from enterprise systems
  • Implement data transformation logic
  • Enforce data quality checks
  • Cloud-based data development

Nice-to-have

  • Collaborative service-oriented environment
  • Promote data engineering best practices
  • Advance university's land-grant mission
  • Support student success initiatives

Key Requirements

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

Work Rights

Proof of legal authority to work in the United States

Tailored Resume

Cover Letter