Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
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Microsoft fabric data lake and warehousing
Design and develop scalable data pipelines
Ingest data from enterprise systems
** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing their cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The role requires expertise in data engineering, strong problem-solving skills, and collaboration with various stakeholders to enhance the university's data solutions and support its mission. **

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.

Matching Summary

Match Score: 75

** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in designing and developing their cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The role requires expertise in data engineering, strong problem-solving skills, and collaboration with various stakeholders to enhance the university's data solutions and support its mission. **

Salary

Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: 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 lake and warehousing
  • design and develop scalable data pipelines
  • ingest data from enterprise systems
  • implement robust data transformation logic
  • data quality checks and error handling
  • technical leadership and code reviews

Nice-to-have

  • collaborative service-oriented environment
  • advance state and build better world
  • foster welcoming climate and creativity
  • promote healthy work-life balance

Key Requirements

  • Bachelor's degree from accredited institution
  • Advanced knowledge of ETL/ELT design and development
  • 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

Work Rights

Proof of legal authority to work in the United States

Tailored Resume

Cover Letter