Salesforce Data Cloud Developer

Senior Salesforce Data Cloud Developer - Revenue & QTC Transformation

Position: Senior Salesforce Data Cloud Developer - Revenue & QTC Transformation

Location: Remote from US, LATAM, or India

Contract Type: Full-time vendor (Contract directly with In All Media)

Time Zone Alignment: Minimum 4-hour daily overlap with US Pacific Time (PT)

About In All Media

In All Media is a global technology and design firm focused on building impactful digital solutions through remote, distributed teams across LATAM.

We partner with international clients across industries, providing long-term technical expertise, product innovation, and team augmentation.

Contract Details: This is a 100% remote contractor position open to qualified candidates based in the US, LATAM, or India. Your contract and engagement will be directly managed with In All Media.

Project Overview

Our client is a global online recruitment and career marketplace platform connecting millions of job seekers with employers worldwide through enterprise-scale cloud architectures.

This role is embedded within a dedicated enterprise Quote-to-Cash (QTC) transformation team responsible for migrating the organization's commercial quoting and billing ecosystem from legacy Salesforce CPQ to Salesforce Revenue Cloud.

The project focuses on building a unified revenue data foundation within Salesforce Data Cloud by integrating commercial, CRM, and subscription billing information from Salesforce Revenue Cloud, Salesforce Core CRM, and external billing platforms such as Zuora.

The engineer will play a critical hands-on role in developing scalable data ingestion pipelines, designing Data Model Objects (DMOs), implementing identity resolution, and building validated financial calculated insights to establish a consistent, accurate view of customer revenue across quoting and billing systems.

A key objective is to ensure data accuracy throughout the QTC migration by reconciling legacy Salesforce CPQ records with Salesforce Revenue Cloud and billing platform data, including contract assets, recurring revenue metrics, and renewal dates.

Additionally, the role will support the development of a reliable, governed revenue data foundation to enable downstream analytics, seller workflows, and initial Salesforce Agentforce generative AI use cases.

The ideal candidate combines strong data engineering fundamentals with recent hands-on Salesforce Data Cloud development experience, advanced SQL capabilities, and a solid understanding of enterprise data modeling, financial metrics, and cross-system reconciliation.

Key Responsibilities

• Multi-Source Revenue Data Ingestion: Design, configure, and maintain Salesforce Data Cloud ingestion pipelines integrating commercial and billing datasets from Salesforce Revenue Cloud, Salesforce Core CRM, and external billing systems such as Zuora. Leverage native data streams, the Data Cloud Ingestion API, and zero-copy data federation patterns.
• Salesforce Data Cloud Data Modeling: Design, implement, and optimize scalable Data Model Objects (DMOs), mapping data from multiple source systems into consistent and maintainable customer, contract, product, and revenue data structures.
• Identity Resolution & Unified Customer Revenue: Configure and refine identity resolution rulesets to match and unify customer records across CRM, quoting, and billing platforms, delivering an accurate single view of customer revenue and commercial relationships.
• Calculated Insights Development: Build, optimize, and maintain financial and operational calculated insights within Salesforce Data Cloud, including Annual Recurring Revenue (ARR), Monthly Recurring Revenue (MRR), product usage metrics, contract values, and related revenue indicators.
• Financial Data Validation & Reconciliation: Develop SQL-based transformation, validation, and reconciliation processes to ensure calculated insights accurately reflect source-system data and maintain strict consistency across financial reporting and sales workflows.
• CPQ-to-Revenue Cloud Migration Reconciliation: Support enterprise Quote-to-Cash migration activities by reconciling legacy Salesforce CPQ data against Salesforce Revenue Cloud and external billing platforms. Validate migrated assets, recurring revenue figures, contract details, and renewal dates before production cutover.
• Data Quality & Integration Reliability: Identify and resolve ingestion inconsistencies, mapping errors, duplicate customer records, and financial data discrepancies to improve the accuracy and reliability of unified revenue datasets.
• Agentforce Data Foundation Enablement: Structure, curate, and govern unified customer and revenue datasets within Salesforce Data Cloud to support downstream Salesforce Agentforce generative AI workflows and revenue-focused business use cases.
• Cross-Functional Technical Collaboration: Work closely with enterprise data engineering, Salesforce development, Revenue Cloud, billing, and QTC transformation teams to align data models, integration processes, and reconciliation requirements.

Must-Have Skills

• Experience Level: 5+ years of professional experience in data engineering or Salesforce data-focused roles, including at least 1 year of hands-on Salesforce Data Cloud development experience. Candidates with 2+ years of direct Data Cloud experience are strongly preferred.
• Salesforce Data Cloud Development: Proven hands-on expertise building and configuring Salesforce Data Cloud solutions in enterprise environments, including data ingestion, transformation, modeling, and data unification.
• Data Cloud Ingestion & Integration: Practical development experience configuring native Salesforce Data Cloud data streams, working with the Ingestion API, and implementing zero-copy data integration patterns.
• Advanced SQL & Analytical Querying: Strong proficiency in SQL for complex data transformations, analytical querying, data validation, and cross-system reconciliation.
• Enterprise Data Modeling: Deep understanding of relational and dimensional data modeling principles, with hands-on experience designing, implementing, and maintaining Salesforce Data Cloud Data Model Objects (DMOs).
• Identity Resolution: Demonstrated experience configuring and optimizing Salesforce Data Cloud identity resolution rulesets to unify customer records and maintain consistent data across multiple enterprise platforms.
• Financial & Operational Calculated Insights: Proven experience developing, optimizing, and validating Salesforce Data Cloud calculated insights, particularly financial metrics such as ARR, MRR, and operational usage indicators.
• Data Accuracy & Reconciliation: Strong ability to validate complex data transformations, identify discrepancies between source and target systems, and ensure reliable financial and operational reporting.
• Time Zone Alignment: Ability to work hours closely aligned with US business operations, with a mandatory minimum of 4 hours of daily overlap with US Pacific Time (PT). Candidates based in the US, LATAM, or India are eligible if they can consistently meet this requirement.
• AWS WorkSpace Compatibility: Ability to work within a corporate-provisioned AWS WorkSpace virtual desktop environment and comply with the client's virtual workspace and network connectivity requirements.
• Network Connectivity Validation: Candidates must complete the required network connectivity test and provide a screenshot confirming successful results as part of their candidate submission.

Nice-to-Have Skills

• Subscription Billing Platform Integration: Hands-on experience working with data from external subscription billing platforms, with Zuora strongly preferred. Experience with other enterprise billing systems is also valuable.
• Quote-to-Cash Migration & Reconciliation: Previous experience supporting Salesforce CPQ-to-Revenue Cloud migrations or comparable enterprise billing transformations, particularly involving data reconciliation, revenue validation, and contract migration.
• Salesforce Revenue Cloud & CPQ Ecosystem: Familiarity with enterprise quoting, contracting, subscription billing, and revenue management processes across Salesforce commercial platforms.
• Agentforce & AI Data Enablement: Practical exposure to Salesforce Agentforce and the preparation of unified enterprise datasets for generative AI use cases.
• Business Intelligence & Analytics: Experience working with Salesforce CRM Analytics, Tableau, or comparable enterprise analytics and reporting solutions.
• Salesforce Certifications: Salesforce Data Cloud Consultant certification.

Time Zone & Collaboration

This position requires a minimum of 4 hours of daily overlap with US Pacific Time (PT) business hours.

Candidates located in the United States, Latin America, or India are eligible, provided they can consistently maintain the required working-hour alignment.

The role involves collaboration with distributed data engineering, Salesforce, Revenue Cloud, billing, and enterprise transformation teams to support data integration, migration validation, and production readiness.

Language

Candidates must be comfortable participating in technical discussions, documenting data engineering solutions, and collaborating with distributed international teams in English.