Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
Not specified (assumed hybrid or onsite based on typical university roles)
Microsoft fabric expertise
Scalable data pipelines
Etl/elt design and development
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing a cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The ideal candidate should have strong experience in data engineering, specifically with ETL/ELT processes, and possess skills in building scalable data pipelines while ensuring data quality and governance

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 benefits package including university contributions to insurance, tuition waivers, and retirement programs.

Matching Summary

Match Score: 85

The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing a cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The ideal candidate should have strong experience in data engineering, specifically with ETL/ELT processes, and possess skills in building scalable data pipelines while ensuring data quality and governance.

Salary

Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: University contributions to health, dental, life and disability insurance, tuition waivers, 12 holidays, immediate leave accrual, retirement programs with university contributions ranging from 5 to 10%

Skills & Requirements

Must-have

  • Microsoft Fabric expertise
  • Scalable data pipelines
  • ETL/ELT design and development
  • Data quality and reliability
  • Cloud-based data development

Nice-to-have

  • Collaborative environment
  • Service-oriented approach
  • Data governance concepts
  • Microsoft Azure experience

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

Not specified

Tailored Resume

Cover Letter