Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, US
$100,000 to $115,000 py
Microsoft fabric
Scalable data pipelines
Etl/elt design and development
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

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.
  • Partnering closely with data architects, analysts, and campus stakeholders, the role shapes data models and system architecture while also mentoring peers, conducting code reviews, and promoting data engineering best practices.

Matching 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.

Salary

$100,000 to $115,000

Skills & Requirements

Must-have

  • Microsoft Fabric
  • scalable data pipelines
  • ETL/ELT design and development
  • large and complex datasets
  • data quality and pipeline reliability
  • change data capture (CDC)
  • normalization and dimensional design

Nice-to-have

  • technical leadership experience
  • Microsoft Azure experience
  • distributed processing frameworks
  • data governance concepts
  • Power BI support

Key Requirements

  • Bachelor's degree
  • Advanced knowledge of ETL/ELT
  • Strong code analysis, debugging, and performance optimization skills
  • Experience ingesting, transforming, and managing large datasets
  • Demonstrated ability to anticipate, identify, and mitigate data quality and pipeline reliability issues
  • Working knowledge of change data capture (CDC)
  • Solid understanding of design principles

Work Rights

Must have proof of legal authority to work in the United States

Tailored Resume

Cover Letter