Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
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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 developing and operating a cloud-based data environment, focusing on Microsoft Fabric. The ideal candidate will possess strong data engineering skills and a collaborative mindset, with a focus on supporting the university's mission through data-driven solutions. **

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

Match Score: 75

** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in developing and operating a cloud-based data environment, focusing on Microsoft Fabric. The ideal candidate will possess strong data engineering skills and a collaborative mindset, with a focus on supporting the university's mission through data-driven solutions. **

Salary

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

Skills & Requirements

Must-have

  • Microsoft Fabric expertise
  • Scalable data pipelines
  • ETL/ELT design and development
  • Data modeling and integration strategies
  • Data quality and error handling

Nice-to-have

  • Technical leadership and mentoring
  • Cloud-based data development
  • Collaborative, service-oriented environment
  • Promoting data engineering best practices

Key Requirements

  • Bachelor's degree
  • Advanced ETL/ELT knowledge
  • Code analysis and debugging skills
  • Experience with large datasets
  • Change data capture (CDC) concepts
  • Normalization and dimensional design principles

Work Rights

Proof of legal authority to work in the US

Tailored Resume

Cover Letter