Salesforce Revenue Cloud Architect

3 weeks ago

New Delhi, India ih Full time

Lead Architect: 8 to 12 plus years on Salesforce; 3 to 5 plus years in CPQ or Revenue Cloud; led multiple complex migrations.Revenue Cloud Domain Configurator: Products, Options, Configuration Attributes and classic rules transitioning to Components and CML. Pricing: Price Rules and Discount Schedules transitioning to Pricing Procedures, Price Tables, Promotions, and Ramps. MDQ and usage: legacy dimensions and custom logic transitioning to first-class time segments and Usage Rate Tables. Transactions and lifecycle: Quotes, Orders, Assets, Subscriptions; amendment and renewal parity; awareness of approval triggers. Multi-currency: precision and rounding policies, FX handling, localized price presentation. Platform Engineering Apex, SOQL and SOSL, Batchable and Queueable, Platform Events; Bulk and Composite API patterns designed for governor limits. CI/CD discipline, source-driven development, test automation for pricing and rules parity. Migration Engineering Schema diffing, mapping specifications, transform rules, lineage and correlation IDs. Idempotent upserts, allOrNone set to false strategies, duplicate detection, bundle reuse detection. Reconciliation design for data parity and pricing parity; acceptance thresholds and service-level objectives. Rollback design with snapshotting, drill time objectives, delta runs for incremental correction. Performance and Reliability Partitioning and parallelization, staged commits, retry and backoff, selective indexing. Long-running job observability and recovery plans for million-row catalogs and high quote-line volumes. Additional Prior large-scale CPQ or Revenue Cloud Advanced migrations across telecom, SaaS, healthcare, or financial services. Cross-org or wave orchestration with MuleSoft, Kafka, or RabbitMQ; Shield or Event Monitoring familiarity. AI-assist for mapping and risk prediction with human-in-the-loop and explainability. Responsibilities Modeling in Revenue Cloud Advanced Re-express Products and Options as Component hierarchies, author CML constraints, normalize attributes and naming standards. Pricing, promotions, and procedures Convert CPQ Price Rules into Pricing Procedures; materialize Price Tables, Promotions, Ramps; codify rounding and precision. MDQ and usage pricing Implement time segments and Usage Products with Rate Tables for tiered, volume, and overage models; define consumption schedules. Lifecycle parity Deliver migrations for quotes to orders to assets to subscriptions; preserve asset lineage and contract references; maintain approval parity. Safety rails Build preflight checks, canary sampling, acceptance thresholds, one-click rollback, delta strategies, and clear error taxonomy. Observability Instrument stage timing, run manifests, pass and fail reasons; ship CRM Analytics dashboards and audit packs. Data quality Drive deduplication and picklist reuse, attribute code standards, safe deletes, bundle-reuse detection; maintain golden datasets. APIs and extensibility Publish public hooks and events, feature flags, and integration touchpoints for partner workflows and cross-org orchestration.

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