Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
Microsoft fabric data lake and warehousing
Design and develop scalable data pipelines
Ingest data from enterprise systems
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

Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: University contributions to insurance, tuition waivers, 12 holidays, immediate leave accrual, retirement programs

Skills & Requirements

Must-have

  • Microsoft Fabric data lake and warehousing
  • design and develop scalable data pipelines
  • ingest data from enterprise systems
  • implement robust data transformation logic
  • data quality checks and validation
  • technical leadership and code reviews

Nice-to-have

  • promote data engineering best practices
  • collaborative and service-oriented environment
  • advance the state and build a better world

Key Requirements

  • Bachelor's degree from accredited institution
  • Advanced ETL/ELT design and development
  • Strong code analysis, debugging, performance optimization
  • Experience with large and complex datasets
  • Mitigate data quality and pipeline reliability issues
  • Working knowledge of change data capture (CDC)
  • Solid understanding of normalization and dimensional design

Work Rights

Must have proof of legal authority to work

Tailored Resume

Cover Letter