Vault CRM Architect(95575-1)

Role Descriptions: . The Vault CRM Architect owns the end-to-end target-state integration and platform architecture for a major pharmaceutical client's migration from the Salesforce-based Veeva CRM to the native Veeva Vault CRM platform. The role defines how the integration estate, custom applications, and downstream AI/data consumers are re-architected onto Vault-native patterns — Vault REST API, Direct Data API, Spark Messaging, and Apache Iceberg — across a multi-org, multi-geography landscape.

This is the senior technical authority for the engagement. The Architect sets design standards, governs the design-authority forum, aligns integration designs with the platform vendor's sign-off gate, and ensures the target architecture is validated, observable, and future-proofed for the client's downstream AI and agentic platforms.

Key Responsibilities

1. Target-State Architecture & Design Authority

• Own the end-to-end integration and data-flow architecture for the Vault CRM target state, translating the legacy Veeva CRM landscape into Vault-native patterns (Vault REST API, Direct Data API, Spark Messaging, Iceberg, vendor-native connectors).

• Chair the integration design-authority forum — set design standards, run the review cadence, and align every design with the platform vendor's integration sign-off gate before build begins.

1. Integration Pattern & Tiering Strategy

• Define the complexity-tier model and pattern mapping (ETL, Iceberg, Spark Messaging, Spark with ETL, marketing-cloud automation) used to size, sequence, and estimate the integration portfolio.

• Validate and re-baseline the integration inventory during discovery, confirming directionality, orchestration, error handling, and middleware for each integration.

1. Data Model & Migration Strategy

• Govern consumption of the platform vendor's authoritative source-to-target object/field mapping and design the downstream-consumer remediation strategy to contain object-rename and schema-change regression risk.

• Define the migration architecture for in-scope custom applications — rebuild, refactor, replace, or retire — for components not moving natively to the Vault platform.

1. AI / Data Platform & Future-Proofing

• Architect Iceberg Lakehouse connections that expose validated Vault CRM data to the client's internal AI platforms and designated LLM data sources, in partnership with the client's data teams.

• Establish MCP / A2A-ready integration patterns so Vault CRM data can be safely surfaced to AI agents without future re-architecture.

1. Observability & Non-Functional Architecture

• Design the platform observability framework on the client's enterprise monitoring platform — monitoring of critical usage and security thresholds across Vault CRM and the integration toolset, plus a scaling playbook for the client to extend post-implementation.

• Set non-functional standards for scalability, API rate-limit handling, high-volume refresh loads, error handling, and rollback across all environments.

1. Compliance, Governance & Multi-Vendor Alignment

• Ensure all designs meet GxP / 21 CFR Part 11 and the client's validation standards, with requirements traceability from design through test evidence.

• Operate within the multi-vendor model — joint design forums and conflict-resolution paths across the platform vendor, partner SIs, and the client — and provide architectural input to Go/No-Go decisions.