Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
Not specified
Microsoft fabric expertise
Design scalable data pipelines
Etl/elt design and development
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the design and development of its cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The ideal candidate will have extensive experience in data engineering, including ETL/ELT processes, and a strong problem-solving skill set, with a commitment to collaboration and service-oriented 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 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

Match Score: 85

The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the design and development of its cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The ideal candidate will have extensive experience in data engineering, including ETL/ELT processes, and a strong problem-solving skill set, with a commitment to collaboration and service-oriented practices.

Salary

$100,000 to $115,000; Not specified; Benefits eligible

Skills & Requirements

Must-have

  • Microsoft Fabric expertise
  • Design scalable data pipelines
  • ETL/ELT design and development
  • Data ingestion and transformation
  • Data quality and reliability
  • Cloud-based data development

Nice-to-have

  • Technical leadership and mentoring
  • Collaborative, service-oriented environment
  • Promote data engineering best practices
  • Strong problem-solving skills

Key Requirements

  • Bachelor's degree
  • Advanced ETL/ELT knowledge
  • Strong code analysis skills
  • Experience with large datasets
  • Change data capture (CDC) knowledge
  • Normalization and dimensional design understanding

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter