Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
Not specified (potentially hybrid).
Microsoft fabric
Scalable data pipelines
Data ingestion
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in developing and maintaining its cloud-based data lake and warehousing environment, specifically utilizing Microsoft Fabric. The ideal candidate will possess strong technical skills in data engineering and a collaborative mindset to work closely with various stakeholders while promoting best practices

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 position designs and delivers data solutions that have direct impact in supporting the University’s land-grant mission, student success initiatives, and operational excellence.
  • 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 developing and maintaining its cloud-based data lake and warehousing environment, specifically utilizing Microsoft Fabric. The ideal candidate will possess strong technical skills in data engineering and a collaborative mindset to work closely with various stakeholders while promoting best practices.

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

Skills & Requirements

Must-have

  • Microsoft Fabric
  • scalable data pipelines
  • data ingestion
  • data transformation
  • data modeling
  • code reviews
  • data quality checks

Nice-to-have

  • technical leadership
  • collaborative environment
  • service-oriented environment
  • work-life balance
  • Microsoft Azure

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
  • Experience with change data capture (CDC)
  • Solid understanding of design principles (normalization, dimensional design)

Work Rights

Proof of legal authority to work in the United States

Tailored Resume

Cover Letter