About Fordham
Founded in 1841, Fordham is the Jesuit University of New York, offering an exceptional education distinguished by the Jesuit tradition to more than 16,000 students in its nine colleges and schools. It has residential campuses in the Bronx and Manhattan, a campus in West Harrison, N.Y., the Louis Calder Center Biological Field Station in Armonk, N.Y., and the London Centre in the United Kingdom.
The University offers a comprehensive benefits package that includes medical, dental, and vision insurance; flexible spending accounts; retirement plans; life insurance; short and long-term disability; employee assistance program (EAP); tuition remission; and generous time off.
Successful candidates should have a knowledge of and commitment to the goals of Jesuit Education.
Title of Position Principal Data Architect
Position Number A04740
FLSA Exempt
Scheduled Hours Per Week 35
Department Information Services
Campus Rose Hill
Work Arrangement Hybrid
Hybrid Policy: Please review the Hybrid Policy at www.fordham.edu/hybridpolicy.
Position Summary
Reporting to the Director of Analytics, the Principal Data Architect is responsible for designing, implementing, and managing the university’s data architecture and data management strategy and
applications. This position ensures the efficient and effective use of data resources across the institution, supporting academic, research, and administrative functions.
The Principal Data Architect leads the development of data models, data warehousing solutions, predictive models, and integration strategies while ensuring data governance, quality, and security standards are met.
This position may require occasional evening, weekend, and holiday hours.
Essential Functions
Develops and maintains the university’s data architecture strategy, including data models, data integrations, predictive analytics, and data warehousing solutions.
Documents and visualizes data pipelines from source to destination, illustrating data flow through university assets.
Collaborates with academic, research, and administrative units to understand data needs and design appropriate analytics solutions.
Oversees the implementation of data management tools and technologies, ensuring alignment with the university’s overall IT strategy and compliance with relevant regulations.
Acts as a critical liaison between IT and various university departments, facilitating communication and collaboration to address data-related challenges and opportunities.
Drives innovation in data management practices and technologies to enhance the university’s data capabilities and support its strategic goals.
Ensures data accuracy, integrity, and security in all analytics activities.
Communicates complex data insights effectively to non-technical stakeholders.
Essential Functions Note This list is not intended to be an exhaustive list.
The University may assign additional related duties as necessary.
Management Responsibilities Not responsible for supervision or oversight of others.
Additional Functions
Contributes to evaluating and making recommendations on project resource requirements.
Provides work direction/coaching to team members.
Develops hypothesis and identifies data needed to evaluate.
Communicates status, progress, and impact to management.
Resolves issues promptly.
Reviews the team’s work for quality and thoroughness.
Develops implementation plans for specific strategy components (i.e., work plan, transitional architecture plans).
Manages code development within a sub-team and/or develops complex modules.
Leads execution of testing plans and scripts.
Required Qualifications: Education and Experience
Bachelor’s degree in a related field, or in lieu of a Bachelor’s, a minimum of 8 years relevant experience.
Minimum of 5 years relevant experience.
Required Qualifications: Knowledge and Skills
General familiarity with retrieving and posting data to APIs via Curl or programmatically.
Proficiency in SQL programming with a strong background in data analytics, including the ability to extract, analyze, and interpret complex datasets.
Experience with Power BI or similar data visualization tools and techniques.
Experience with Azure Data Factory or similar ELT/ETL tools.
Knowledge of a programming language such as Python.
Expertise in predictive analytics and statistical methods to forecast future trends and behaviors.
Demonstrates understanding of complex transactions and related configuration options.
Displays awareness of technology tool trends and potential applicability.
Preferred Qualifications
Understanding of business, academic, or other technology and technology support services applications.
Experience with Higher Education ERP and Data Solutions.
Experience with CRM data and an understanding of customer/student metrics.
Minimum Starting Salary $114,000
Maximum Starting Salary $142,000
Note Salary is commensurate with qualifications, experience, and skills.
Is this a Union position? No
Posting Number A883P
Number of Vacancies 1
Start Date N/A
Posting Date 06/26/2025
Special Instructions
EEO Statement
Fordham University is committed to excellence through diversity and welcomes candidates of all backgrounds.
Fordham University is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.
Sitting Nearly Continuously
Repetitive Hand Motion (such as typing) Often
Hearing, Listening, Talking Often
Standing Seldom
Walking Seldom
Running Not Required
Bending, Stooping, Kneeling, squatting, Crouching, Crawling Not Required
Climbing stairs Not Required
Climbing ladders Not Required
Reaching overhead Not Required
Pulling, pushing Not Required
Shoveling Not Required
Lifting – up to 20 pounds Not Required
Lifting – up to 50 pounds Not Required
Lifting – over 50 pounds Not Required
Work Environment Office Environment: Employees are protected from weather conditions or contaminants, but not necessarily occasional temperature changes.
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