• Architect and optimize the **Snowflake data platform**, including warehouse sizing, cost optimization, storage strategy, and access controls • Design and own **dbt project structure**, including models, macros, testing, documentation, and scalable data contracts • Build and maintain **ELT pipelines** using Fivetran and orchestration tools, ensuring reliable data ingestion across multiple sources • Implement and manage **data quality and observability frameworks** (tests, SLAs, lineage, monitoring, incident response) • Translate **business requirements into scalable data models and reusable datasets** • Partner with **Analytics, Product, and Marketing teams** to deliver high-quality, self-service data solutions • Establish and enforce **data modeling standards** (dimensional and ER models) • Optimize **query performance and warehouse costs** in Snowflake, providing insights to stakeholders • Define and enforce **data governance policies**, including RBAC, masking, and PII handling • Own end-to-end delivery of **complex data initiatives**, from design to production • Participate in **code reviews and technical design discussions**, raising engineering standards • Identify and reduce **technical debt** across pipelines, models, and infrastructure

• Design, build, and optimize data warehouses, pipelines, and ETL/ELT processes to support enterprise reporting and analytics • Translate ambiguous business questions into scalable, data-driven solutions that help leaders make informed decisions • Develop automated reporting and analytics workflows, ensuring data accuracy, consistency, and timeliness • Build and maintain dashboards and visualization tools that synthesize complex data for finance and operational leadership • Partner with finance, accounting, and operational teams across portfolio companies to understand data needs and implement effective solutions • Implement best practices for data governance, data quality, and system architecture • Support integration efforts during acquisitions, system migrations, and new tool onboarding

• Design, build, and optimize data warehouses, pipelines, and ETL/ELT processes to support enterprise reporting and analytics • Translate ambiguous business questions into scalable, data-driven solutions that help leaders make informed decisions • Develop automated reporting and analytics workflows, ensuring data accuracy, consistency, and timeliness • Build and maintain dashboards and visualization tools that synthesize complex data for finance and operational leadership • Partner with finance, accounting, and operational teams across portfolio companies to understand data needs and implement effective solutions • Implement best practices for data governance, data quality, and system architecture • Support integration efforts during acquisitions, system migrations, and new tool onboarding • Designing and deploying a new cloud-based data warehouse (Snowflake, Redshift, BigQuery, etc.) • Optimizing an existing warehouse or data architecture to improve performance and reduce cost • Developing enterprise-grade dashboards (Power BI, Tableau, Looker, etc.) for monthly reporting, KPIs, and operational visibility • Automating reporting processes previously done in Excel or manual systems • Building financial and operational data models used for forecasting, profitability analysis, or executive dashboards • Supporting process improvement and system enhancement initiatives across finance, accounting, and operations • Managing ad-hoc technical projects such as API integrations, data migrations, or master data restructuring

• Develop and maintain data pipelines between disparate data sources. • Extract, Transform, and Load data utilizing efficient SQL queries to meet end user needs. • Collaborate with peers and end users to provide novel technical solutions to unique their business problems. • Build low maintenance automations to standardize our business processes. • Conduct in depth ad hoc analysis and reporting to support business needs. • Ensure confidentiality of patient information and other sensitive data by adhering to HIPAA compliance requirements.