• Financial Data Infrastructure: Design, build, and maintain data pipelines and dbt models that power financial reporting. Establish standards for data quality, documentation, and testing that enable accurate, auditable outputs across Databricks, Sigma, and downstream systems. • Revenue & Reconciliation Systems: Develop and own data workflows for revenue recognition, deferred revenue, discounts, and program activity. Ensure alignment between operational data sources (NetSuite, Salesforce, Stripe) and accounting principles. • Data Modeling & Architecture: Build dimensional models for financial reporting, including bookings analysis, cohort retention, channel attribution, and marketing spend. Evolve our dbt project structure and conventions to support scalability and maintainability. • BI Enablement: Partner with Finance and Marketing to build foundational dashboards in Sigma, then enable those teams to self-serve on ongoing reporting needs. The goal is teaching stakeholders to fish, not becoming the dashboard team. • Data Quality & Governance: Implement validation frameworks, automated testing, and monitoring to minimize reporting errors. Ensure financial data is trusted and auditable across teams. • Cross-Functional Partnership: Translate between technical and business stakeholders to define KPIs, document business logic, and ensure consistency across reporting layers. Serve as the data subject matter expert for finance-related questions.