RFP 27-01 Data Lakehouse Platform and Related Services

The University seeks a comprehensive, cloud‑based Data Lakehouse platform and related services to ingest, store, and make available raw and processed data from up to twelve source systems. The vendor must provide a SaaS/PaaS solution hosted in the United States, support Apache Iceberg or Delta Lake formats, implement a Medallion Architecture (Bronze, Silver, Gold), and deliver implementation, training, and ongoing support for a five‑year term. The contract includes a three‑month implementation window, mandatory HECVAT security compliance (≥ 85 %), and all‑inclusive pricing based on undiscounted list rates. • Core platform must enable real‑time/near‑real‑time data ingestion, zero‑copy data sharing, metadata cataloging, and AI/ML integration. • Vendor must ingest data from twelve specified university systems (e.g., Workday, Canvas, Ellucian Colleague) and migrate ~4 TB of legacy data, with additional growth of 1‑2 TB per year. • Deliverables include training for at least 25 users, unlimited user licensing, production and non‑production environments, and compliance with NJ, EU, and China data‑privacy regulations. • Submission deadline is October 14 2026 2:00 p.m.; contract term is five years starting July 1 2027, with a three‑month platform‑go‑live requirement.