Villanova University · 15 hours ago
Enterprise Data Architect
Villanova, PA
Full-time
Onsite
Senior Level, Lead/Staff
$131K/yr - $170K/yr
10+ years expVillanova University is a mission-driven organization dedicated to service and excellence in education. The Enterprise Data Architect provides technical and strategic leadership in designing and maintaining the university’s enterprise data architecture, ensuring data accessibility, quality, and compliance while supporting institutional decision-making and analytics.
EducationHigher EducationUniversities
Responsibilities
Lead the design and implementation of scalable, secure, and high-performing enterprise data architectures aligned with institutional goals
Develop and maintain conceptual, logical, and physical data models to support operational, analytical, and reporting needs
Define and enforce enterprise data architecture standards, frameworks, and design principles to ensure interoperability and sustainability
Design integration strategies and data flow architectures using ETL/ELT, API, and event-driven approaches
Collaborate with application and integration teams to ensure seamless data flow across academic, administrative, and enterprise systems
Evaluate and optimize data pipelines for scalability, reliability, and maintainability using modern tools and design patterns
Guide modernization of legacy data environments into optimized cloud or hybrid architectures
Engage in hands-on development or prototyping during key implementation phases to establish frameworks and proof-of-concept pipelines
Document migration procedures, data mappings, and transformation logic for institutional transparency and audit readiness
Partner with data stewards, system owners, and business units to define and implement enterprise data governance frameworks
Establish and maintain metadata management, data lineage, and cataloging practices that support discoverability and data quality
Ensure data integrity, security, and compliance with institutional and regulatory standards (e.g., FERPA, GDPR, HIPAA)
Define governance standards for architecture documentation and metadata to ensure consistency and auditability
Collaborate with functional and technical teams to validate data accuracy and completeness following migrations or major system changes
Support the development and operation of data governance committees, contributing to policy creation, enforcement, and continuous improvement
Collaborate with Information Security and Compliance offices to align with privacy and risk management requirements
Collaborate with university leadership and cross-functional committees to align enterprise data strategy with institutional objectives and digital transformation goals
Enable advanced analytics, predictive modeling, and self-service business intelligence through well-structured and governed data ecosystems
Partner with Institutional Research, Finance, Enrollment, and other functional areas to ensure data solutions meet evolving analytical and reporting needs
Provide technical leadership and mentorship to integration specialists, analysts, and data governance colleagues across the university, and help establish foundational practices for future data engineering and architecture roles
Contribute to the university’s technology roadmap by evaluating emerging tools, methodologies, and trends in data architecture
Represent UTS on cross-functional initiatives that advance Villanova’s digital transformation and promote data-driven decision-making
Perform other duties and assist with projects as assigned
Qualification
Required
Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field
Minimum of ten (10) years of progressive experience in data architecture, data integration, or enterprise data systems
Demonstrated success designing and implementing large-scale, enterprise data solutions in hybrid or cloud environments
Proven experience developing enterprise data models, governance frameworks, and integration architectures that support analytics and operational excellence
Experience collaborating with cross-functional teams across technology, analytics, and data governance domains
Strong record of leadership in advancing institutional or organizational data capabilities
Advanced analytical, conceptual, and problem-solving abilities with an enterprise systems mindset
Ability to lead architecture design discussions, influence technical direction, and communicate effectively with both technical and non-technical stakeholders
Demonstrated ability to develop and maintain enterprise standards, documentation, and architecture diagrams
Excellent collaboration, relationship-building, and mentorship skills
Ability to balance strategic planning with hands-on execution, particularly during foundational or implementation phases
Deep understanding of enterprise data architecture, data modeling, and integration design across on-premise, hybrid, and cloud environments
Expertise in ETL/ELT design patterns, API-based integrations, and event-driven architectures
Knowledge of data governance, metadata management, and master data management frameworks
Understanding of reporting and analytics environments and how architecture enables advanced data insights
Deep expertise in enterprise resource planning and student information systems and their data structures and integration strategies (e.g., Ellucian Banner ERP or similar ERP/SIS)
Proven experience with cloud-based data warehousing solutions, including schema design, performance tuning, and security configuration (e.g., Snowflake or similar platform)
Hands-on experience with operational data store and reporting-layer architectures and their integration or migration to modern cloud data environments (e.g., Ellucian Banner ODS to Snowflake or comparable solutions)
Proven success in migrating or modernizing legacy data warehouses or operational data stores to scalable cloud platforms, including schema translation and performance optimization
Familiarity with cloud infrastructure providers (AWS, Azure, GCP) and data lake architectures
Strong proficiency in SQL, Python, and ETL tools (e.g., Matillion, Talend, Informatica)
Familiarity with data validation frameworks, reconciliation techniques, and change data capture (CDC) processes
Comprehensive understanding of security, privacy, and compliance standards relevant to higher education and enterprise environments (e.g., FERPA, GDPR, HIPAA)
Preferred
Master's Degree
Certifications in Snowflake, AWS, or data architecture (e.g., CDMP, TOGAF)
Experience working in Higher Education
Direct experience working with technologies used in enterprise data ecosystems, including: Ellucian Banner ERP and Banner Operational Data Store (ODS) for transactional and reporting data management
Snowflake Cloud Data Warehouse for enterprise analytics, data modeling, and integration
Power BI (or similar tools such as Tableau) for business intelligence and visualization
ETL and integration tools such as Matillion, Talend, or Informatica
Cloud platforms such as AWS or Azure for data storage, orchestration, and analytics
Experience with data governance tools and frameworks (e.g., Collibra, Alation)
Experience applying DevOps and CI/CD practices to automate and manage data workflows
Knowledge of higher education data domains (e.g., student lifecycle, enrollment, financial aid, academic records)
Familiarity with real-time data streaming technologies (e.g., Kafka, AWS Kinesis)
Familiarity with data catalogs, data lineage tracking, and data quality programs that support institutional governance
Benefits
Holistic benefits package
Generous paid time off
Competitive retirement savings plan
Flexible work options
Wellness programs including gym membership
Professional development
Tuition assistance
Company
Villanova University
Villanova University is a private Catholic research university in Villanova, Pennsylvania, United States.
1001-5000 employees
H1B Sponsorship
Villanova University has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (15)
2024 (7)
2023 (12)
2022 (11)
2021 (15)
2020 (4)
Funding
Current Stage
Late StageTotal Funding
$16.52MKey Investors
Andrew W. Mellon FoundationU.S. Environmental Protection AgencyNational Science Foundation
2023-06-06Grant
2022-06-28Grant· $0.03M
2022-02-23Grant· $13.5M
Leadership Team
Raymond D. Duffy
Vice President for Human Resources
Recent News
The Philadelphia Inquirer
2025-11-09
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2025-11-03
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