Salesforce Revenue Cloud Solution Architect (Remote)

strong in parity

testing.

Must have Skills

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.