Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
Microsoft fabric development
Data pipeline design and optimization
Etl/elt design and development
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 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.

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
  • Data pipeline design and optimization
  • ETL/ELT design and development
  • Large and complex dataset management
  • Data quality and reliability mitigation

Nice-to-have

  • Technical leadership and mentoring
  • Cloud-based data development
  • Collaboration with stakeholders
  • Promoting data engineering best practices

Key Requirements

  • Bachelor's degree from an accredited institution
  • Advanced knowledge of ETL/ELT design
  • Strong code analysis, debugging, and performance optimization skills
  • Working knowledge of change data capture (CDC)
  • Solid understanding of design principles (normalization, dimensional design)

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter