Enterprise Data Architect

Position Summary

The Enterprise Data Architect is an experienced and forward-thinking position designed to implement institutional data architecture. This role will be central to organizing our campus-wide data ecosystem and preparing the College for an enterprise data repository such as a data warehouse or data lake. The ideal candidate will bring expertise in designing scalable data systems, enabling cross-functional data access, and supporting analytics and decision-making across the institution.

Essential Duties And Responsibilities

Assess current state of data across departments and systems (e.g., Banner, Workday, Canvas, Salesforce) Design and document enterprise data architecture, including target state diagrams, data flows, and integration models Develop strategies for implementing a data warehouse, data lake, or hybrid model based on institutional needs Define and promote data standards, metadata management, and governance principles Collaborate with stakeholders across IT, Institutional Research, Enrollment, Finance, and Academic Affairs to understand reporting and analytics needs Partner with vendors or consultants as needed to evaluate and deploy data infrastructure platforms Work closely with data engineers, analysts, and business units to ensure alignment with architecture Develop data security and privacy strategies aligned with FERPA and institutional policy

Physical Demands

While performing the duties of this job, the employee is regularly required to: walk, talk, walk, hear, sit, use hands to operate computers, other office equipment, and to move items. The employee is frequently required to: stand and reach with hands and arms. The employee is occasionally required to: stoop, bend, and lift and/or move up to 15 pounds. Specific vision abilities required by this job include the ability to adjust focus.

Required Qualifications

Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field is required 7+ years of experience in data architecture, enterprise data modeling, or a related field Deep understanding of data architecture frameworks (e.g., TOGAF, DAMA - DMBOK ) Experience with cloud-based data platforms (e.g., AWS Redshift, Azure Synapse, Snowflake) Familiarity with Ellucian Banner, Workday, or similar ERP / SIS systems Strong communication and facilitation skills, with the ability to work across technical and non-technical teams To perform this job successfully, the incumbent must be able to perform intermediate skills using the Microsoft Office Suite.

Preferred Qualifications

Master’s preferred in Computer Science, Information Systems, Data Science, or related field. Experience with ETL / ELT processes and tools (e.g., Informatica, Talend, dbt, Fivetran) Understanding of data governance platforms (e.g., Collibra, Alation) Knowledge of data security and compliance ( FERPA, HIPAA, GDPR ) Experience in higher education strongly preferred