Salesforce CPQ Architect

Job Description

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We're seeking a Principal CPQ Architect to lead the architectural design and strategy for transitioning a top-tier technology company's quotes configuration from Salesforce CPQ to Salesforce Revenue Cloud Advanced (RCA). This role will serve as the principal technical authority, ensuring the solution maximizes RCA's configurable features, reuses existing integration APIs and external systems, and incorporates generative AI (e.g., via Agentforce) for development acceleration. Based in India, you'll collaborate with global teams to deliver a scalable, maintainable architecture aligned with business objectives.

Responsibilities:

• Act as the lead architect and subject matter expert for the Salesforce RCA solution, overseeing end-to-end design from CPQ migration to RCA implementation.
• Conduct architectural planning, including data models, workflows, integrations, UI customizations, and AI-driven enhancements.
• Translate high-level business requirements into detailed technical designs, evaluating RCA features like Custom code in Apex and LWC, Flow Designer, Integration Hub, UI Builder, and Agentforce.
• Lead solution design workshops, presentations, and reviews for technical and non-technical stakeholders, including senior executives.
• Guide and mentor cross-functional teams (e.g., developers, analysts, AI specialists) on Salesforce best practices, platform capabilities, and innovative solutions.
• Ensure solution quality, performance, security, and adherence to Salesforce governance, while identifying risks and recommending mitigations.
• Collaborate with the Program Manager to align architecture with project timelines, budget, and scope.
• Oversee the reuse of existing APIs and integrations, optimizing for efficiency in the quotes management process.
• Drive strategic decisions on AI integration to accelerate development, such as using generative AI for code generation or process automation.
• Provide technical liaison between the project team, client's IT, and business units, facilitating knowledge transfer.

Requirements

Qualifications:

• 10+ years of experience as a Salesforce CPQ/RCA Architect or Lead Consultant on large-scale, complex enterprise projects.
• Deep expertise in Salesforce architecture, data modeling, development frameworks (Apex, LWC, Flow Designer, Workflow Builder), and integration patterns (Integration Hub).
• Proven track record in CPQ-to-RCA transitions, with strong knowledge of revenue lifecycle management and quotes configuration.
• Experience with AI/ML capabilities, particularly Salesforce's AI suite (e.g., Agentforce, Einstein).
• Familiarity with UI customization, modern user experiences, and Experience Cloud for portal development.
• Salesforce Certified Technical Architect or Certified Application Architect is required; additional certifications (e.g., CPQ Specialist, Revenue Cloud) highly desirable.
• Excellent leadership, communication, and presentation skills, with the ability to explain complex concepts to diverse audiences.
• Strong problem-solving, strategic thinking, and experience managing dependencies in multi-vendor environments.
• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Willingness to work in India time zones with occasional global collaboration; remote/hybrid options available.

Job Types: Full-time, Permanent

Pay: ₹2,200,000.00 - ₹3,500,000.00 per year

Application Question(s):

• How many years of overall experience do you currently have?
• Do you have the following certifications Salesforce Certified Technical Architect or Certified Application Architect is required; additional certifications (e.g., CPQ Specialist, Revenue Cloud) are highly desirable.?
• What is your Expected CTC in LPA?
• What is your notice period in days?

Experience:

• Salesforce: 10 years (Required)
• salesforce CPQ: 10 years (Required)
• Salesforce RCA: 10 years (Preferred)
• Apex : 5 years (Required)
• Lightning Web Components: 5 years (Preferred)
• Salesforce architecture: 5 years (Required)
• Data Modeling: 5 years (Required)
• AI/ML capabilities: 5 years (Preferred)
• Agentforce: 5 years (Preferred)
• Einstein: 5 years (Preferred)

Work Location: In person