Oracle CPQ Admin

Tekskills Inc.; Dadri; Remote; INR 1,000,000 - 2,000,000; Full time

Job summary

Tekskills Inc. seeks an experienced Oracle CPQ Admin to join our team on a PAN India basis. The role requires 5+ years of hands-on Oracle CPQ Cloud administration and configuration in production environments, with deep BML scripting skills and strong catalog/design expertise.

The candidate will lead CPQ integration with Salesforce CRM, work with REST/SOAP APIs, manage multiple CPQ environments, and drive release migrations. Familiarity with Agile/Scrum is preferred.

Qualifications

• 5+ years of hands-on Oracle CPQ Cloud administration and configuration experience in a production environment.
• Deep proficiency in BML (BigMachines Language) for pricing formulas, configuration logic, and document generation scripting.
• Strong experience with Oracle CPQ product catalog design, attribute modeling, configuration rules, and commerce process workflows.
• Demonstrated experience integrating Oracle CPQ with Salesforce CRM using the native Oracle CPQ-Salesforce connector.
• Experience with REST and/or SOAP API integration patterns for CPQ data exchange.
• Solid understanding of CPQ-related business processes: configure-to-order, quote-to-cash, pricing governance, and approval workflows.
• Proficiency in XSLT or Oracle CPQ's native template engine for quote document design.
• Experience managing multiple CPQ environments and coordinating structured release migrations.
• Familiarity with Agile/Scrum delivery practices.

Skills

Oracle CPQ administration

BML scripting

Catalog design

Configuration rules

APIs integration

Quote-to-cash

XSLT

Release management

Agile/Scrum

Salesforce integration

Education

Oracle CPQ Cloud certification

Oracle training

Tools

Salesforce

REST API

SOAP API

MuleSoft

Azure Logic Apps

Boomi

Oracle ERP Cloud

Job description

Job Description

Role: Oracle CPQ Admin

Experience: 5 Years

Location: PAN India

• 5+ years of hands-on Oracle CPQ Cloud administration and configuration experience in aproduction environment.
• Deep proficiency in BML (BigMachines Language) for pricing formulas, configuration logic, and document generation scripting
• Strong experience with Oracle CPQ product catalog design, attribute modeling, configuration rules, and commerce process workflows.
• Demonstrated experience integrating Oracle CPQ with Salesforce CRM using the nativeOracle CPQSalesforce connector.
• Experience with REST and/or SOAP API integration patterns for CPQ data exchange.
• Solid understanding of CPQ-related business processes: configure-to-order, quote-to-cash,pricing governance, and approval workflows.
• Proficiency in XSLT or Oracle CPQ's native template engine for quote document design.
• Experience managing multiple CPQ environments and coordinating structured release migrations.
• Preferred Qualifications
• Oracle CPQ Cloud certification or Oracle-recognized training completion.
• Experience integrating Oracle CPQ with Oracle ERP Cloud, Oracle Order Management, or Oracle Revenue Management Cloud.
• Familiarity with subscription billing, recurring revenue models, and renewal quotingwithin CPQ.
• Experience with Oracle CPQ's Advanced Configurator for complex hardware/BOM-drivenproduct models.
• Knowledge of Salesforce administration (objects, flows, profiles) to support the CRM–CPQintegration layer.
• Exposure to middleware/iPaaS platforms (MuleSoft, Azure Logic Apps, Boomi) for CPQintegration scenarios.
• Experience supporting large-scale sales organizations (500+ quoting users) or multi-region/multi-currency CPQ deployments.
• Familiarity with Agile/Scrum delivery practices.

Competencies

• Deep Platform Expertise: Recognized authority on Oracle CPQ — consulted first for complex configuration challenges and platform decisions.
• Business Acumen: Strong understanding of sales processes, pricing strategy, and revenue operations; able to bridge business intent and technical configuration.
• Analytical Problem-Solving: Skilled at diagnosing complex rule conflicts, pricing discrepancies, and integration failures with structured, data-driven approaches.