We are looking for a talented Revenue Systems Data Architect to join our team in a long-term contract role. This position focuses on building robust data infrastructure to support Sales, Marketing, and Partner teams by connecting fragmented systems and enabling smarter workflows for data-driven decision-making. The role is fully remote, with opportunities to collaborate closely with centralized data teams while remaining embedded in Sales Technology to ensure actionable insights.<br><br>Responsibilities:<br>• Develop and implement attribution logic to track opportunity enrollment and revenue credits.<br>• Design and maintain data pipelines to consolidate fragmented signals from go-to-market systems.<br>• Collaborate with Sales, Marketing, and Partner teams to align data processes with governance standards.<br>• Provide datasets for segmentation, prioritization, and campaign automation purposes.<br>• Automate tracking systems for sales credit and pipeline lifecycle visibility.<br>• Create and support dashboards and reporting tools to monitor sales performance and partner engagement.<br>• Document data architecture, field mappings, and pipeline logic for transparency and scalability.<br>• Regularly report progress and ensure alignment with project milestones.

• Minimum of 8 years of experience in data architecture, systems integration, or commercial analytics roles.<br>• Proficient in attribution modeling, forecasting, lead scoring, and sales data structures.<br>• Advanced knowledge of SQL and familiarity with modern data platforms and CRM systems.<br>• Strong cross-functional communication skills and ability to document processes effectively.<br>• Bachelor’s degree required; Master’s degree in Computer Science, Information Systems, or Business Analytics preferred.<br>• Proven ability to create dashboards and prepare datasets to support strategic decision-making.<br>• Experience with automation tools and governance frameworks for data management.<br>• Expertise in designing solutions aligned with go-to-market strategies and segmentation needs.

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