Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
Not specified
Microsoft fabric expertise
Scalable data pipelines
Etl/elt design and development
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to design, develop, and maintain its cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The ideal candidate will have extensive experience in ETL/ELT processes, data engineering, and technical leadership, with a strong focus on data quality and pipeline reliability

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

Match Score: 85

The University of Arkansas is seeking a Lead Analytics Solutions Engineer to design, develop, and maintain its cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The ideal candidate will have extensive experience in ETL/ELT processes, data engineering, and technical leadership, with a strong focus on data quality and pipeline reliability.

Salary

Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: Health, dental, life, disability insurance, tuition waivers, 12 holidays, leave accrual, retirement programs

Skills & Requirements

Must-have

  • Microsoft Fabric expertise
  • Scalable data pipelines
  • ETL/ELT design and development
  • Data ingestion and transformation
  • Data quality and reliability
  • Cloud-based data development

Nice-to-have

  • Collaborative environment
  • Service-oriented approach
  • Workday data experience
  • Distributed processing frameworks
  • Data governance understanding

Key Requirements

  • Bachelor's degree
  • Advanced ETL/ELT knowledge
  • Strong code analysis skills
  • Experience with large datasets
  • Change data capture (CDC) knowledge
  • Data modeling principles

Work Rights

Proof of legal authority to work

Tailored Resume

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