Salesforce Data Architect, Revenue Solutions

Salesforce Data Architect, Revenue Solutions

Remote - United States

At Neura Flash, Part of Accenture, we are redefining the future of business through the power of AI and groundbreaking technologies like Agentforce. As a trusted leader in AI, Amazon, and Salesforce innovation, we craft intelligent solutions—integrating Salesforce Einstein, Service Cloud Voice, Amazon Connect, Agentforce and more—to revolutionize workflows, elevate customer experiences, and deliver tangible results. From conversational AI to predictive analytics, we empower organizations to stay ahead in an ever-evolving digital landscape with cutting‑edge, tailored strategies.

We are proud to be creating the future of generative AI and AI agents. Salesforce has launched Agentforce, and Neura Flash, Part of Accenture, was selected as the only partner for the private beta prior to launch. Post‑launch, we’ve earned the distinction of being Salesforce’s #1 partner for Agentforce, reinforcing our role as pioneers in this transformative space.

Be part of the Neura Flash, Part of Accenture journey and help shape the next wave of AI‑powered transformation. Here, you’ll collaborate with trailblazing experts who are passionate about pushing boundaries and leveraging technologies like Agentforce to create impactful customer outcomes. Whether you're developing advanced AI‑powered bots, streamlining business operations, or building solutions using the latest generative AI technologies, your work will drive innovation  you’re ready to make your mark in the AI space, Neura Flash, Part of Accenture is the place for you.

As a Data Architect – Revenue Solutions
, you will lead the design and execution of complex data migration initiatives that support Salesforce Revenue Cloud implementations, with a particular focus on Salesforce CPQ and Billing. You will serve as a strategic advisor and hands‑on expert in migrating product catalogs, pricing structures, contracts, subscriptions, billing transactions, and quote‑to‑cash data from source systems into Salesforce.

You will collaborate directly with clients, solution architects, and technical teams to deliver scalable, high‑quality data architecture and migration frameworks aligned with revenue transformation goals.

• 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 are reflected in data loads.
• Define and document end‑to‑end data architecture, field mappings, and transformation logic across legacy ERP, CPQ tools, billing systems, and Salesforce.
• Design flexible, reusable migration frameworks to accommodate ongoing data loads (delta or phased) across environments.
• Ensure data migration aligns with Salesforce Revenue Cloud metadata structure and dependencies.
• Execution & Quality Control
• Build and execute SQL‑based data extraction and transformation scripts using Microsoft SQL Server, DBAmp, or equivalent tools.
• Perform iterative test loads to sandboxes and production environments, ensuring data quality and reconciliation with legacy systems.
• Validate bundle integrity, pricing calculations, and downstream impacts on revenue recognition and reporting.
• Conduct data migration discovery sessions and workshops with customers to refine scope and identify risks early.
• Provide regular migration progress updates, issue logs, and cut‑over plans to project stakeholders.
• Create a seamless customer experience through thorough documentation, testing, and enablement support.
• Work closely with Salesforce Solution Architects, Rev Ops leaders, developers, and QA teams to ensure data integrity throughout the Quote‑to‑Cash lifecycle.
• Contribute to standardization of data migration best practices,…