Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; yes py
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Microsoft fabric development
Scalable data pipelines
Data ingestion and transformation
** 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. The ideal candidate will have strong expertise in data engineering, particularly with Microsoft Fabric, and a proven ability to collaborate effectively with various stakeholders. **

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: 75

** 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. The ideal candidate will have strong expertise in data engineering, particularly with Microsoft Fabric, and a proven ability to collaborate effectively with various stakeholders. **

Salary

$100,000 to $115,000; Not specified; Yes

Skills & Requirements

Must-have

  • Microsoft Fabric development
  • Scalable data pipelines
  • Data ingestion and transformation
  • Cloud-based data lake and warehousing

Nice-to-have

  • Technical leadership and mentorship
  • Collaborative environment
  • Promoting data engineering best practices

Key Requirements

  • Bachelor's degree
  • Advanced ETL/ELT design
  • Strong code analysis skills
  • Experience with large datasets
  • Change data capture (CDC) knowledge
  • Data modeling principles

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter