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Senior Salesforce Revenue Cpq Developer
Senior Salesforce Revenue Cpq DeveloperideaHelix • Davangere, Republic Of India, IN
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Senior Salesforce Revenue Cpq Developer

Senior Salesforce Revenue Cpq Developer

ideaHelix • Davangere, Republic Of India, IN
4 days ago
Job description

Senior Salesforce Revenue CPQ Developer

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.
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    Salesforce Developer • Davangere, Republic Of India, IN

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