Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; university co...
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Microsoft fabric data lakehouse and warehouse
Design and develop scalable data pipelines
Ingest data from enterprise systems
** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to oversee the design and development of a cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The role involves building scalable data pipelines, collaborating with various stakeholders, and ensuring data quality and governance. **

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: 75

** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to oversee the design and development of a cloud-based data lake and warehousing environment, focusing on Microsoft Fabric. The role involves building scalable data pipelines, collaborating with various stakeholders, and ensuring data quality and governance. **

Salary

$100,000 to $115,000; Not specified; University contributions to health, dental, life and disability insurance, tuition waivers, 12 holidays, immediate leave accrual, and 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 error handling
  • technical leadership and code reviews

Nice-to-have

  • promote data engineering best practices
  • collaborative and service-oriented environment
  • advance the University's land-grant mission

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 normalization and dimensional design

Work Rights

Must have proof of legal authority to work in the US

Tailored Resume

Cover Letter