Inside Higher Ed
Data Architect
– University of South Carolina – Columbia, SC (on-site)
Job Summary The
Data Architect
plays a pivotal role in advancing the University of South Carolina’s enterprise analytics and data governance strategy. In this highly impactful role, you’ll design, optimize, and manage the University’s enterprise data architecture, ensuring that data is accessible, secure, standardized, and strategically aligned with institutional goals. You’ll collaborate across the Division of Information Technology, the Office of Institutional Research, Assessment, and Analytics (OIRAA), and distributed data owners to integrate systems, develop scalable data models, and support trusted analytics through robust data management practices.
Responsibilities
Design and implement enterprise-level data models and architecture strategies.
Build and maintain data warehouses, ETL/ELT pipelines, and data integrations across systems.
Collaborate with stakeholders to ensure data supports institutional analytics and decision-making.
Promote best practices in data governance, metadata management, and data quality.
Optimize performance, scalability, and security across databases and cloud data platforms.
Support analytics and reporting through platforms like Tableau, Cognos, and Power BI.
Champion responsible data management, privacy, and ethical AI use.
Qualifications
Education: Bachelor’s degree in a related field.
Experience: 4+ years in data architecture, management, or analytics engineering, or an equivalent combination of education, training, and experience.
Technical Expertise:
Data warehouse design and management (ETL/ELT).
Strong SQL skills and experience with data modeling tools (ERwin, dbt, PowerDesigner).
Experience with cloud data platforms (AWS, Azure, or GCP).
Familiarity with data governance frameworks (DCAM, DAMA-DMBOK).
Experience implementing data catalog and lineage tools (Purview, Collibra, Informatica).
Preferred: Master’s degree in Information Systems, Data Management, or related discipline.
Experience with higher education systems (PeopleSoft, Workday, Banner, Huron, Blackboard).
Key Competencies
Strategic, systems-level thinker with attention to detail.
Strong communication and collaboration skills across technical and non-technical teams.
Ability to translate complex data concepts into actionable insights.
Commitment to data ethics, privacy, and responsible AI.
Curious, innovative, and always learning.
Tools & Technologies You’ll Work With
Databases: SQL Server, Oracle, Snowflake, Databricks
Analytics & BI: Tableau, Cognos, Power BI
Data Modeling & Integration: ERwin, dbt, PowerDesigner, Informatica
Cloud Platforms: AWS, Azure, GCP
Languages: SQL, Python, R
Why Join Us At the University of South Carolina, we believe in the power of data to drive better decisions, enhance learning, and strengthen our community. As
Data Architect , you’ll help build the foundation for a modern, secure, and insight-driven data ecosystem that supports our
students, faculty, and staff . Bring your vision, technical expertise, and leadership to a university that values innovation, collaboration, and impact.
Apply Today Apply today and help shape the future of enterprise data at the University of South Carolina.
EEO Statement The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion, sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.
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– University of South Carolina – Columbia, SC (on-site)
Job Summary The
Data Architect
plays a pivotal role in advancing the University of South Carolina’s enterprise analytics and data governance strategy. In this highly impactful role, you’ll design, optimize, and manage the University’s enterprise data architecture, ensuring that data is accessible, secure, standardized, and strategically aligned with institutional goals. You’ll collaborate across the Division of Information Technology, the Office of Institutional Research, Assessment, and Analytics (OIRAA), and distributed data owners to integrate systems, develop scalable data models, and support trusted analytics through robust data management practices.
Responsibilities
Design and implement enterprise-level data models and architecture strategies.
Build and maintain data warehouses, ETL/ELT pipelines, and data integrations across systems.
Collaborate with stakeholders to ensure data supports institutional analytics and decision-making.
Promote best practices in data governance, metadata management, and data quality.
Optimize performance, scalability, and security across databases and cloud data platforms.
Support analytics and reporting through platforms like Tableau, Cognos, and Power BI.
Champion responsible data management, privacy, and ethical AI use.
Qualifications
Education: Bachelor’s degree in a related field.
Experience: 4+ years in data architecture, management, or analytics engineering, or an equivalent combination of education, training, and experience.
Technical Expertise:
Data warehouse design and management (ETL/ELT).
Strong SQL skills and experience with data modeling tools (ERwin, dbt, PowerDesigner).
Experience with cloud data platforms (AWS, Azure, or GCP).
Familiarity with data governance frameworks (DCAM, DAMA-DMBOK).
Experience implementing data catalog and lineage tools (Purview, Collibra, Informatica).
Preferred: Master’s degree in Information Systems, Data Management, or related discipline.
Experience with higher education systems (PeopleSoft, Workday, Banner, Huron, Blackboard).
Key Competencies
Strategic, systems-level thinker with attention to detail.
Strong communication and collaboration skills across technical and non-technical teams.
Ability to translate complex data concepts into actionable insights.
Commitment to data ethics, privacy, and responsible AI.
Curious, innovative, and always learning.
Tools & Technologies You’ll Work With
Databases: SQL Server, Oracle, Snowflake, Databricks
Analytics & BI: Tableau, Cognos, Power BI
Data Modeling & Integration: ERwin, dbt, PowerDesigner, Informatica
Cloud Platforms: AWS, Azure, GCP
Languages: SQL, Python, R
Why Join Us At the University of South Carolina, we believe in the power of data to drive better decisions, enhance learning, and strengthen our community. As
Data Architect , you’ll help build the foundation for a modern, secure, and insight-driven data ecosystem that supports our
students, faculty, and staff . Bring your vision, technical expertise, and leadership to a university that values innovation, collaboration, and impact.
Apply Today Apply today and help shape the future of enterprise data at the University of South Carolina.
EEO Statement The University of South Carolina does not discriminate in educational or employment opportunities or decisions for qualified persons on the basis of age, ancestry, citizenship status, color, disability, ethnicity, familial status, gender (including transgender), gender identity or expression, genetic information, HIV/AIDs status, military status, national origin, pregnancy (false pregnancy, termination of pregnancy, childbirth, recovery therefrom or related medical conditions, breastfeeding), race, religion, sex, sexual orientation, veteran status, or any other bases under federal, state, local law, or regulations.
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