Salesforce Developer specializing in Revenue Cloud and CPQ at ATS Corporation. Collaborating with internal clients on requirements and delivering solutions in a complex Salesforce environment.
Responsibilities
Design, build, and deliver quote-to-cash (Q2C) solutions using Salesforce Revenue Cloud and CPQ.
Partner closely with internal business stakeholders to gather, analyze, and translate business needs into well-designed Revenue Cloud solutions.
Facilitate requirements and process discovery sessions to document current-state and future-state Q2C processes and functional requirements.
Collaborate with integration and enterprise architecture teams to design Salesforce integrations with ERP and other downstream systems.
Build scalable and maintainable solutions, including declarative configurations and custom development.
Act as a solution owner for assigned initiatives, ensuring scope, timelines, and outcomes remain aligned with business expectations.
Review solution designs prior to development to ensure alignment with requirements, architectural standards, and platform best practices.
Provide hands-on configuration and development support across Revenue Cloud and CPQ
Requirements
2 - 5+ years of experience in developing & delivering solutions in Salesforce and related working experience with Revenue Cloud and CPQ.
Proven experience working with Salesforce Revenue Cloud, CPQ, Sales Cloud and Service Cloud.
Complete understanding of data models, product/pricing master data management and standard ERP integration reference architecture.
Hands-on declarative configuration expertise implementing products and price books, price rules, flows, advanced approvals, discounting, quoting, invoicing, and amendment and renewal processes.
Working knowledge of Salesforce Lightning components, configuration, object relationships, app management & administration.
Proven experience managing ticket/support queues & SLAs, combined with excellent customer service skills.
Proven experience with business and technical requirements analysis, business process modeling and data modeling.
Proven experience with troubleshooting principles, methodologies, and issue resolution techniques.
Working technical knowledge of scripting languages and automation (RPA) are an asset.
Strong knowledge of system and software quality assurance best practices and methodologies.
Hands-on technical writing and editing experience, with specific experience in documenting information technology software/systems and requirements gathering documentation.
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