Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
Microsoft fabric data lakehouse and warehouse
Design and develop scalable data pipelines
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 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

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

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

Skills & Requirements

Must-have

  • Microsoft Fabric data lakehouse and warehouse
  • design and develop scalable data pipelines
  • ETL/ELT design and development
  • ingest data from enterprise systems
  • data transformation logic
  • data quality checks and validation

Nice-to-have

  • technical leadership and mentoring
  • collaboration with stakeholders
  • cost efficiency optimization
  • data governance and security compliance

Key Requirements

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

Work Rights

Proof of legal authority to work in the US

Tailored Resume

Cover Letter