Revenue Cloud Data Architect - CPQ & Billing (Remote)

Openkrill; United States; Hybrid; USD 120,000 - 190,000; Full time

Benefits offered by this job

Remote & In-Person options

Travel up to 25%

Collaborative culture

Job summary

NeuraFlash, Part of Accenture is seeking a Data Architect – Revenue Solutions to lead data migration initiatives for Salesforce CPQ & Billing. You will migrate catalogs, pricing, contracts, subscriptions, and invoice data into Revenue Cloud.

You will design scalable migration frameworks and collaborate with clients and solution architects to ensure data quality and alignment with revenue transformation goals.

Qualifications

• 5+ years in data architecture and migration, focusing on revenue operations and Quote‑to‑Cash processes.
• Deep knowledge of Salesforce Revenue Cloud, specifically Salesforce CPQ and Billing.
• Experience with migrating product catalogs (bundles, rules, attributes), quotes, contracts, subscriptions, and billing data.

Responsibilities

• Lead CPQ & Revenue Data Migrations
• Own the data strategy for migrating core revenue entities including products, price books, quotes, quote line items, contracts, subscriptions, amendments, and invoice records.
• Develop migration blueprints that support Salesforce CPQ and Billing data models, including multi-currency, multi-org, and tax configuration considerations.
• Partner with functional teams to ensure accurate configuration of product bundles, pricing rules, and approval processes reflected in data loads.

Skills

SQL

Data migration

Salesforce CPQ

Billing

ERP integration

Education

Salesforce CPQ Specialist

Platform Developer II

Tools

DBAmp

Dataloader

Pentaho

Job description

NeuraFlash, Part of Accenture is seeking a Data Architect – Revenue Solutions to lead data migration initiatives for Salesforce CPQ & Billing. You will migrate catalogs, pricing, contracts, subscriptions, and invoice data into Revenue Cloud.

You will design scalable migration frameworks and collaborate with clients and solution architects to ensure data quality and alignment with revenue transformation goals.