Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
Not specified
Microsoft fabric
Data pipelines
Data ingestion
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to oversee the design and development of its cloud-based data lake and warehousing environment, specifically focusing on Microsoft Fabric. The ideal candidate will possess strong technical expertise in data engineering and have a proven track record of building scalable data solutions while collaborating closely with various stakeholders

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 and development of its cloud-based data lake and warehousing environment, specifically focusing on Microsoft Fabric. The ideal candidate will possess strong technical expertise in data engineering and have a proven track record of building scalable data solutions while collaborating closely with various stakeholders.

Salary

$100,000 to $115,000; Not specified; Benefits eligible

Skills & Requirements

Must-have

  • Microsoft Fabric
  • Data Pipelines
  • Data Ingestion
  • Data Transformation
  • Cloud-based Data Development
  • Data Quality Checks

Nice-to-have

  • Technical Leadership
  • Collaborative Environment
  • Service-Oriented
  • Work-life Balance
  • Code Reviews

Key Requirements

  • Bachelor's degree
  • ETL/ELT design and development
  • Large and complex datasets management
  • Change data capture (CDC) concepts
  • Normalization and dimensional design principles

Work Rights

Not specified

Tailored Resume

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