Data Engineer (Data & AI Services, Governance)

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 https://publish.smartsheet.com/4a3a97a4b2154516ae722437d46fa038 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., Overnight travel required for project delivery; flexibility in on-site daily service delivery hours (due to client shift schedules, project required)., The University System of Georgia is comprised of our 25 institutions of higher education and learning as well as the System Office. Our USG Statement of Core Values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do as an organization, and each USG community member is responsible for demonstrating and upholding these standards. More details on the USG Statement of Core Values and Code of Conduct are available in USG Board Policy 8.2.18.1.2 and can be found on-line at https://www.usg.edu/policymanual/section8/C224/#p8.2.18_personnel_conduct.

Additionally, USG supports Freedom of Expression as stated in Board Policy 6.5 Freedom of Expression and Academic Freedom found on-line at https://www.usg.edu/policymanual/section6/C2653. Equal Employment Opportunity

The Georgia Institute of Technology (Georgia Tech) is an Equal Employment Opportunity Employer. The Institute is committed to maintaining a fair and respectful environment for all. To that end, and in accordance with federal and state law, Board of Regents policy, and Institute policy, Georgia Tech provides equal opportunity to all faculty, staff, students, and all other members of the Georgia Tech community, including applicants for admission and/or employment, contractors, volunteers, and participants in institutional programs, activities, or services. Georgia Tech complies with all applicable laws and regulations governing equal opportunity in the workplace and in educational activities.

Equal opportunity and decisions based on merit are fundamental values of the University System of Georgia (“USG”) and Georgia Tech. Georgia Tech prohibits discrimination, including discriminatory harassment, on the basis of an individual’s race, ethnicity, ancestry, color, religion, sex (including pregnancy), national origin, age, disability, genetics, or veteran status in its programs, activities, employment, and admissions. Further, Georgia Tech prohibits citizenship status, immigration status, and national origin discrimination in hiring, firing, and recruitment, except where such restrictions are required in order to comply with law, regulation, executive order, or Attorney General directive, or where they are required by Federal, State, or local government contract. Other Information

This is not a supervisory position. This position does not have any financial responsibilities. This position will not be required to drive. This role is not considered a position of trust. This position does not require a purchasing card (P-Card). This position will not travel This position does not require security clearance. Background Check

Bachelor’s Degree in a related discipline or equivalent combination of education and experience. Advanced certification may be preferred or required., Eight or more years of relevant experience., Master’s Degree in a related discipline or equivalent., 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 Proposed Salary

$120,278 - $150,000, depending on experience and preferred skills Knowledge, Skills, & Abilities, This job requires broad knowledge of IT systems management, infrastructure and architectural design and integration and related components and applications. Expertise is required in IT service delivery methodology and techniques, industry practices and campus policies and procedures. Knowledge, Skills, & Abilities Advanced knowledge of data engineering principles, data architecture, and data integration methodologies. Ability to evaluate emerging data and AI platform technologies and translate technical trade-offs into strategic recommendations for institutional leadership. Proficiency in SQL and modern data engineering technologies, including ETL/ELT frameworks and orchestration tools. Experience working with cloud-based data platforms and large-scale data environments. Strong understanding of data modeling, metadata management, data quality, and data governance practices. Knowledge of data security, privacy, and regulatory compliance requirements. Knowledge of modern analytics, machine learning, and artificial intelligence data platforms. Ability to troubleshoot complex data issues and implement effective solutions. Strong analytical, problem-solving, and organizational skills. Excellent written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences. Ability to manage multiple priorities and work effectively in a collaborative environment. USG Core Values, Successful candidate must be able to pass a background check. Please visit https://usg.policystat.com/policy/19298143/latest

Georgia Tech prides itself on its technological resources, collaborations, high-quality student body, and its commitment to building an outstanding and diverse community of learning, discovery, and creation. We strongly encourage applicants whose values align with our institutional values, as outlined in our strategic plan. These values include academic excellence, diversity of thought and experience, inquiry and innovation, collaboration and community, and ethical behavior and stewardship. Georgia Tech has policies to promote a healthy work-life balance and is aware that attracting faculty may require meeting the needs of two careers.

About Georgia Tech

Georgia Tech is a top-ranked public research university situated in the heart of Atlanta, a diverse and vibrant city with numerous economic and cultural strengths. The Institute serves more than 45,000 students through top-ranked undergraduate, graduate, and executive programs in engineering, computing, science, business, design, and liberal arts. Georgia Tech’s faculty attracted more than $1.4 billion in research awards this past year in fields ranging from biomedical technology to artificial intelligence, energy, sustainability, semiconductors, neuroscience, and national security. Georgia Tech ranks among the nation’s top 20 universities for research and development spending and No. 1 among institutions without a medical school.

Georgia Tech’s Mission and Values

Georgia Tech’s mission is to develop leaders who advance technology and improve the human condition. The Institute has nine key values that are foundational to everything we do