• Design, build, and maintain scalable data pipelines that ingest and transform data across Salesforce, Gainsight, Rocketlane, Zendesk, Snowflake, product telemetry, and other core systems • Strategic partner with Customer Ops & Analytics, Enterprise Data Engineering and Product Operations teams to be a thought leader to design scalable data solutions. • Develop reliable data models that power renewal forecasting, churn prediction, customer health scoring, professional services metrics, support performance, and product usage • Implement CI/CD, data testing, and documentation best practices to ensure scalable, secure, and auditable transformations • Optimize warehouse performance and data architecture for speed, cost efficiency, and reliability • Partner with Product and Engineering to design telemetry schemas and ensure meaningful product instrumentation, while building pipelines that translate product usage data into actionable insights for both Product teams and Post-Sales teams • Architect data structures that support AI/ML use cases including churn prediction, renewal forecasting, workflow automation, and sentiment analysis • Implement monitoring and validation frameworks to proactively detect data inconsistencies • Familiarity with using Python for basic to advanced data processing tasks • Develop and document data or system models, flow diagrams and architecture guidelines