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
Scalable data pipelines
Etl/elt design and development
** The University of Arkansas is seeking a Lead Analytics Solutions Engineer to oversee the design, development, and ongoing maintenance of its cloud-based data environment, primarily using Microsoft Fabric. The role emphasizes building scalable data pipelines, ensuring data quality, and collaborating with various stakeholders to enhance analytics and reporting across university units. **

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, development, and ongoing maintenance of its cloud-based data environment, primarily using Microsoft Fabric. The role emphasizes building scalable data pipelines, ensuring data quality, and collaborating with various stakeholders to enhance analytics and reporting across university units. **

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
  • Scalable data pipelines
  • ETL/ELT design and development
  • Data transformation logic
  • Data quality and error handling

Nice-to-have

  • Technical leadership and mentoring
  • Collaboration with stakeholders
  • Promoting data engineering best practices
  • Cloud-based data development experience

Key Requirements

  • Bachelor's degree from an accredited institution
  • Advanced knowledge of ETL/ELT design
  • Strong code analysis and debugging skills
  • Experience with large, complex datasets
  • 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