Salesforce Revenue Cloud Architect

2 weeks ago


Kollam, 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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