Salesforce Revenue Cloud Architect

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 DomainConfigurator : Products, Options, Configuration Attributes and classic rules transitioning to Components andCML.Pricing : Price Rules and Discount Schedules transitioning to Pricing Procedures, Price Tables, Promotions, andRamps.MDQ and usage : legacy dimensions and custom logic transitioning to first-class time segments and Usage RateTables.Transactions and lifecycle : Quotes, Orders, Assets, Subscriptions; amendment and renewal parity; awareness ofapproval triggers.Multi-currency : precision and rounding policies, FX handling, localized price presentation.Platform EngineeringApex, SOQL and SOSL, Batchable and Queueable, Platform Events; Bulk and Composite API patterns designedfor governor limits.CI / CD discipline, source-driven development, test automation for pricing and rules parity.Migration EngineeringSchema 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 ReliabilityPartitioning 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.AdditionalPrior large-scale CPQ or Revenue Cloud Advanced migrations across telecom, SaaS, healthcare, or financialservices.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.ResponsibilitiesModeling in Revenue Cloud Advanced Re-express Products and Options as Component hierarchies, author CMLconstraints, 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, andoverage models; define consumption schedules.Lifecycle parity Deliver migrations for quotes to orders to assets to subscriptions; preserve asset lineage andcontract references; maintain approval parity.Safety rails Build preflight checks, canary sampling, acceptance thresholds, one-click rollback, delta strategies, andclear error taxonomy.Observability Instrument stage timing, run manifests, pass and fail reasons; ship CRM Analytics dashboards andaudit 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 partnerworkflows and cross-org orchestration.