Lead Data Architect
Core
Sets the architecture for how the University's administrative data is sourced, modeled, integrated, governed, and delivered, from today's warehouse estate to a modern platform ready for analytics and AI.
Role type
Lead Data Architect
Builds
Modern cloud data platforms, lakehouse patterns, enterprise data models, and BI/analytical applications
Domain
Higher Education / Data Engineering & Architecture
Deliverable
production ML models
Required skills
Data modeling (relational, dimensional, semantic), Data warehouse and integration platforms (Oracle, Hadoop), Cloud data platforms and lakehouse patterns, Metadata management and data catalogs, Data quality frameworks, Enterprise system integration (ERP, HCM, SIS, CRM), AI readiness and semantic layers
Preferred skills
Leading enterprise data architecture in complex/federated environments, Migrating workloads from on-premises to cloud, Governing cloud data platforms (workspace design, capacity, cost), Enabling AI on enterprise data (Model Context Protocol)
Technologies
Oracle, Oracle Data Integrator, Hadoop, Cloud data platforms, BI and analytical software
Responsibilities
Define and maintain current-state and target-state data architecture and multi-year roadmap; Set architecture standards and reference patterns for data modeling, integration, and pipelines; Lead platform modernization options and proofs of concept; Design enterprise data models and integration architecture; Own technical architecture for master data (identity); Build data quality checks, lineage, and auditability into pipelines; Design classification, access, and privacy controls; Support data governance program with technical definitions and tooling; Serve as technical lead on highest-priority initiatives; Mentor data engineers and developers; Lead development of BI and analytical applications; Provide expertise in planning, testing, and roll-out of patches and upgrades
Seniority
Senior, hands-on IC