Lead Analytics Solutions Engineer

University of Arkansas, Fayetteville

Fayetteville, Arkansas, US
Base: $100,000 to $115,000; bonus/equity: not spec...
Not specified
Microsoft fabric
Scalable data pipelines
Data ingestion
The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the design and development of their cloud-based data infrastructure, focusing on Microsoft Fabric. The role involves building scalable data pipelines and collaborating with various stakeholders to enhance data-driven decision-making in support of the university's mission

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 benefits package including university contributions to insurance, tuition waivers, holidays, and retirement programs.

Matching Summary

Match Score: 85

The University of Arkansas is seeking a Lead Analytics Solutions Engineer to provide technical leadership in the design and development of their cloud-based data infrastructure, focusing on Microsoft Fabric. The role involves building scalable data pipelines and collaborating with various stakeholders to enhance data-driven decision-making in support of the university's mission.

Salary

Base: $100,000 to $115,000; Bonus/Equity: Not specified; Benefits: University contributions to health, dental, life and disability insurance, tuition waivers, 12 holidays, immediate leave accrual, and choice of retirement programs.

Skills & Requirements

Must-have

  • Microsoft Fabric
  • scalable data pipelines
  • data ingestion
  • data transformation
  • data quality checks
  • data governance
  • Microsoft Azure

Nice-to-have

  • institutional data partners
  • service-oriented environment
  • healthy work-life balance
  • transformational opportunities

Key Requirements

  • Bachelor's degree
  • Advanced ETL/ELT design and development
  • Strong code analysis, debugging, and performance optimization
  • Experience with large and complex datasets
  • Ability to mitigate data quality and pipeline reliability issues
  • Working knowledge of change data capture (CDC)
  • Solid understanding of normalization and dimensional design
  • Proven track record in data engineering

Work Rights

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

Tailored Resume

Cover Letter