What do we do?Paddle offers digital product companies a completely different approach to their payment infrastructure. Instead of assembling and maintaining a complex stack of payments-related apps and services, we’re a Merchant of Record for our customers. That means we take away 100% of the pain of payment fragmentation. It’s faster, safer, cheaper, and, above all, way better. We’re backed by investors including KKR, FTV Capital, Kindred, Notion, and 83North and serve over 6000 software sellers in 245 territories globally. The Role: We are seeking a Senior Analytics Engineer to drive significant business impact by shaping our data infrastructure, developing robust data models, and promoting best practices in analytics engineering (e.g., data quality, documentation, and scalable data architectures). You will collaborate closely with business stakeholders to identify and deliver high-value data solutions and provide informal mentorship to junior team members, fostering their growth and enhancing team capabilities.What you'll do: Create and maintain complex, scalable data models in Snowflake using dbt.Expose datasets effectively in BI tooling to enable robust self-service analytics.Perform simple data ingestion tasks using no-code tools and ensure streamlined data flows.Add comprehensive metadata to datasets, including documentation, data quality checks, and sensitive data masking.Activate data by pushing it from Snowflake into other operational tools.Proactively identify and raise data quality issues to the respective process owners for resolution.Lead training sessions and initiatives to drive adoption and effective use of BI tools across the organization.Mentor junior analytics engineers, fostering knowledge-sharing and professional growth.We'd love to hear from you if you:Extensive experience in analytics engineering or related data roles, with demonstrated expertise in advanced SQL, dbt, and Snowflake.Proficient in using BI tools (e.g. Tableau, Looker, PowerBI,