Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
Microsoft fabric data lake and warehousing
Design and development of data pipelines
Ingest data from enterprise systems
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 lake and warehousing
  • design and development of data pipelines
  • ingest data from enterprise systems
  • data transformation logic
  • data quality checks and validation
  • technical leadership and code reviews

Nice-to-have

  • collaboration with data architects and analysts
  • promoting data engineering best practices
  • service-oriented environment
  • strong problem-solving skills

Key Requirements

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

Work Rights

Proof of legal authority to work in the United States

Tailored Resume

Cover Letter