Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
$100,000 to $115,000; not specified; benefits elig...
Hybrid
Microsoft fabric data lake and warehousing
Design and develop scalable data pipelines
Etl/elt design and development
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the development and operation of a cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The role emphasizes building scalable data pipelines, collaborating with various stakeholders, and mentoring team members, with a strong focus on data quality and governance

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 provide technical leadership in the development and operation of a cloud-based data lake and warehousing environment, primarily using Microsoft Fabric. The role emphasizes building scalable data pipelines, collaborating with various stakeholders, and mentoring team members, with a strong focus on data quality and governance.

Salary

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

Skills & Requirements

Must-have

  • Microsoft Fabric data lake and warehousing
  • Design and develop scalable data pipelines
  • ETL/ELT design and development
  • Ingest, transform, and manage large datasets
  • Data quality and pipeline reliability
  • Change data capture (CDC) concepts

Nice-to-have

  • Technical leadership and mentorship
  • Collaborative, service-oriented environment
  • Promote data engineering best practices
  • Familiarity with distributed processing frameworks
  • Basic understanding of data governance

Key Requirements

  • Bachelor's degree from an accredited institution
  • Strong code analysis, debugging, and performance optimization skills
  • Solid understanding of normalization and dimensional design
  • Proven track record in data engineering
  • Experience serving in a technical lead role
  • Cloud-based data development experience

Work Rights

Proof of legal authority to work in the US

Tailored Resume

Cover Letter