Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
Not specified (likely hybrid or on-site based on the role's nature)
Microsoft fabric
Data lake and warehousing environment
Scalable data pipelines
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to oversee the design, development, and operation of its cloud-based data environment, primarily using Microsoft Fabric. The ideal candidate will have a strong background in data engineering, ETL/ELT processes, and technical leadership, contributing to the university's mission of supporting student success and operational excellence

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 with university contributions ranging from 5 to 10% of employee salary.

Matching Summary

Match Score: 85

The University of Arkansas is seeking a Lead Analytics Solutions Engineer to oversee the design, development, and operation of its cloud-based data environment, primarily using Microsoft Fabric. The ideal candidate will have a strong background in data engineering, ETL/ELT processes, and technical leadership, contributing to the university's mission of supporting student success and operational excellence.

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 environment
  • scalable data pipelines
  • data ingestion from enterprise systems
  • data transformation logic
  • data quality checks
  • data governance, security, access control

Nice-to-have

  • technical leadership
  • collaborative, service-oriented environment
  • promoting data engineering best practices
  • cost efficiency
  • strong problem-solving skills

Key Requirements

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

Work Rights

Proof of legal authority to work

Tailored Resume

Cover Letter