Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
Microsoft fabric development
Scalable data pipelines
Data ingestion from enterprise systems
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

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

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.

Salary

Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: Yes

Skills & Requirements

Must-have

  • Microsoft Fabric development
  • Scalable data pipelines
  • Data ingestion from enterprise systems
  • Data transformation logic
  • Data quality and error handling
  • Cloud-based data warehousing

Nice-to-have

  • Technical leadership and mentorship
  • Promoting data engineering best practices
  • Cost efficiency in data solutions
  • Collaborative service-oriented environment

Key Requirements

  • Bachelor's degree from an accredited institution
  • Advanced ETL/ELT design and development
  • Strong code analysis, debugging, and performance optimization
  • Experience with large and complex datasets
  • Ability to mitigate data quality and pipeline reliability 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