Role Description:
The Vault CRM Architect owns the end-to-end target-state integration and platform architecture for a major pharmaceutical clients 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 AIdata 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 vendors sign-off gate, and ensures the target architecture is validated, observable, and future-proofed for the clients 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 vendors integration sign-off gate before build begins.
2 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.
3. Data Model & Migration Strategy
Govern consumption of the platform vendors authoritative source-to-target objectfield 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.
4. AI Data Platform & Future-Proofing
Architect Iceberg Lakehouse connections that expose validated Vault CRM data to the clients internal AI platforms and designated LLM data sources, in partnership with the clients data teams.
Establish MCP A2A-ready integration patterns so Vault CRM data can be safely surfaced to AI agents without future re-architecture.
5. Observability & Non-Functional Architecture
Design the platform observability framework on the clients 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.
6. Compliance, Governance & Multi-Vendor Alignment
Ensure all designs meet GxP 21 CFR Part 11 and the clients 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 GoNo-Go decisions.
Skills: Digital : Node.jsVeeva Vault PlatformDigital : Salesforce Sales CloudVeeva CRM
Experience Required: 10 & Above
Never miss an opportunity! Create an alert based on the job you applied for.
