Revenue Cloud Data Architect – Salesforce CPQ & Billing

NeuraFlash, LLC; United States; Presencial; USD 130.000 - 180.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

401(k) plan

Descripción de la vacante

NeuraFlash, Part of Accenture, seeks a Data Architect to own data migration for Salesforce Revenue Cloud, CPQ and Billing. You’ll design end-to-end data architectures, mappings and migration frameworks across ERP, CPQ, and billing systems.

You will partner with Salesforce Architects, RevOps leaders, developers and QA to ensure data integrity, alignment with revenue transformation goals and successful cutovers.

Formación

• 5+ years of experience in data architecture and migration, focused on revenue operations.
• Deep knowledge of Salesforce Revenue Cloud, CPQ and Billing.
• Hands-on data migration across product catalogs, quotes, contracts and subscriptions.

Responsabilidades

• Lead data migration strategies for CPQ & Revenue Cloud initiatives.
• Define data architecture, mappings and transformation logic across systems.
• Develop migration frameworks for delta or phased data loads.
• Collaborate with solution architects, RevOps and QA to ensure data integrity.
• Deliver SQL-based extraction/load scripts and validate results.

Conocimientos

Data architecture

Data migration

Revenue Operations

Quote-to-Cash

SQL

Educación

Salesforce CPQ Specialist certification

Platform Developer II certification

Salesforce Admin certification

App Builder certification

Platform Developer I certification

Herramientas

DBAmp

Dataloader

Pentaho

Jira

Confluence

GitHub

LucidChart

Salesforce CPQ

Descripción del empleo

NeuraFlash, Part of Accenture, seeks a Data Architect to own data migration for Salesforce Revenue Cloud, CPQ and Billing. You’ll design end-to-end data architectures, mappings and migration frameworks across ERP, CPQ, and billing systems.

You will partner with Salesforce Architects, RevOps leaders, developers and QA to ensure data integrity, alignment with revenue transformation goals and successful cutovers.