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Data Engineer (Data & AI Services Governance)

Board of Regents, University System of Georgia and by and on behalf of GA TechAtlanta, GA🇺🇸United StatesPosted 31 Aug 2026

Why This Role Stands Out

You'll build and maintain scalable data pipelines and architectures, directly impacting data-driven decision-making across a renowned institution. This role is perfect for a mid-senior level engineer eager to collaborate with data scientists and analysts, enhancing your skills in a dynamic environment. Apply now to contribute to a leading educational technology ecosystem.

Quick Overview

Seniority
Mid Senior
Work mode
On Site
Location
Atlanta, GA, United States
Posted
15 hours ago
AWSSnowflakeAzureDatabricksGoogle Cloud

Job Description

Job Summary

The Data Engineer designs, builds, and maintains scalable data pipelines and architectures that enable efficient data processing and analysis within the institution. This position works closely with data scientists and analysts to ensure data quality, accessibility, and usability, facilitating data-driven decision-making across various departments.

Job Summary

The Data Engineer designs, builds, and maintains scalable data architectures, pipelines, and integration solutions that support the institution's data ecosystem. This role ensures the efficient collection, transformation, storage, and accessibility of data from multiple sources to enable reporting, analytics, integrations, artificial intelligence, and data-driven decision making within governance frameworks. The Data Engineer collaborates closely with data scientists, analysts, application teams, and business stakeholders to ensure data quality, reliability, governance, and performance across enterprise data platforms. 

This position is at the level of Principal Professional, emphasizing enterprise-scale architecture, governance, and deep technical expertise that informs and enables institutional data and platform strategy set by senior leadership. For more information on this level, please visit URL   

Responsibilities

Job Duty 1 - 
Design, build, and maintain robust data pipelines to facilitate the efficient collection, storage, and processing of large datasets.

Job Duty 2 - 
Implement data integration solutions that combine data from multiple sources to create a unified view for analysis and reporting.

Job Duty 3 - 
Optimize data storage and retrieval processes to improve performance and reduce latency in data access.

Job Duty 4 - 
Develop and maintain comprehensive documentation of data models, pipelines, and workflows to support knowledge sharing and continuity.

Job Duty 5 - 
Monitor data systems for performance and reliability, troubleshooting any issues that arise to minimize disruptions.

Job Duty 6 - 
Ensure compliance with data governance policies and best practices to protect sensitive information and maintain data integrity.

Job Duty 7 - 
Stay current with industry trends and advancements in data engineering technologies to recommend innovative solutions for data management.

Job Duty 8 - 
Train and support staff on data tools and technologies to enhance the institution's overall data literacy and analytical capabilities.

Job Duty 9 - 
Collaborate with data scientists and analysts to ensure data quality, accessibility, and usability for various analytical tasks.

Job Duty 10 - 
Perform other job-related duties as assigned.

Required Qualifications

Educational Requirements
Bachelor's Degree in a related discipline or equivalent combination of education and experience. Advanced certification may be preferred or required.

Other Required Qualifications
Overnight travel required for project delivery; flexibility in on-site daily service delivery hours (due to client shift schedules, project required).

Required Experience
Eight or more years of relevant experience.

Preferred Qualifications

Preferred Educational Qualifications
Master's Degree in a related discipline or equivalent.

Preferred Qualifications

Progressive experience designing, developing, and supporting enterprise data solutions, data warehouses, data lakes, or analytics platforms.
Experience serving as a subject matter expert advising technology leadership on data platform strategy, architecture decisions, and tool selection.
Experience implementing data integration, automation, and data quality solutions within complex organizational environments.
Experience with cloud environments such as Azure, AWS, or Google Cloud.
Experience with cloud platforms such as Databricks, Snowflake
Experience supporting higher education, research, healthcare, government, or large enterprise environments.
Relevant industry certifications related to cloud data engineering or data architecture

Preferred Qualifications

Master's Degree in a relates discipline or equivalent

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