Enterprise Data Architect

🇺🇸 Villanova, PA

🕑 Full-Time

💰 $131K - $171K

💻 Data Science

🗓️ November 12th, 2025

SQL Python ETL

Edtech.com's Summary

Villanova University is hiring an Enterprise Data Architect. The role involves leading the design, development, and maintenance of the university's enterprise data architecture by defining data modeling standards, ensuring system integration consistency, and enabling secure, high-performing data solutions to support decision-making, analytics, and operations. The position also involves collaborating with stakeholders on data governance, digital transformation initiatives, and occasionally performing hands-on development during key implementation phases.

Highlights

Lead design and implementation of scalable, secure enterprise data architectures aligned with university goals.
Develop and maintain conceptual, logical, and physical data models supporting operations and analytics.
Define enterprise data standards, integration strategies (ETL/ELT, API, event-driven), and modernization of legacy systems.
Collaborate with application, integration teams, and stakeholders for seamless data flow and quality assurance.
Support enterprise data governance, metadata management, and ensure compliance with FERPA, GDPR, HIPAA standards.
Provide technical leadership and mentorship; contribute to institutional data governance frameworks and technology roadmap.
Minimum qualifications: Bachelor's degree in Computer Science, Information Systems, or related field and 10+ years of progressive experience in data architecture and integration.
Required skills include expertise in ETL/ELT tools (Matillion, Talend, Informatica), SQL, Python, cloud platforms (AWS, Azure, GCP), and data warehousing (Snowflake).
Preferred qualifications: Master's degree and certifications such as CDMP, TOGAF, Snowflake, or AWS; experience with higher education data domains and tools like Ellucian Banner ERP and Power BI.
Compensation range: $131,200 - $170,500 annually, within salaried grade 20, determined by candidate qualifications and other factors.