Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

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

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; University contributions to health, dental, life and disability insurance, tuition waivers, 12 holidays, immediate leave accrual, retirement programs

Skills & Requirements

Must-have

  • Microsoft Fabric data lakehouse and warehouse
  • design and develop scalable data pipelines
  • ingest data from enterprise systems
  • implement robust data transformation logic
  • enforce data quality checks and validation

Nice-to-have

  • technical leadership and mentoring
  • promote data engineering best practices
  • collaborative service-oriented environment

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
  • Working knowledge of change data capture (CDC) concepts
  • Solid understanding of normalization and dimensional design

Work Rights

Not specified

Tailored Resume

Cover Letter