Senior Analytics Engineer - Finance

Senior Analytics Engineer - Finance Full-time Recruitment type: Permanent Job Description Join the team redefining how the world experiences design. Hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our global HQ is in Sydney, Australia, and as we continue to grow in our largest global market, we’ve made our way from down under to San Francisco.

Our Jackson Square campus blends the neighborhood’s vibrant downtown charm with Canva’s signature flair. The space is designed for both deep work and collaboration, along with spaces for Canvanauts to relax, recharge, and connect. We offer flexibility in how and where you work. We trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. What you’d be doing in this role As Senior Analytics Engineer on the Finance Data team, you'll own the data models and pipelines behind Canva's revenue data, some of the highest-volume and most scrutinised data in the company. Your core responsibility is the pipeline supporting our revenue recognition process: millions of billing and subscription service data flowing from source systems into Snowflake, transformed through dbt into models that Finance closes the books on every month. Reliability, accuracy and auditability aren't nice-to-haves here, they're the job. Your partnership is with the Revenue Accounting team. You'll support them through month-end close, making sure revenue data lands on time and reconciles cleanly, and you'll build and maintain the control processes that keep the pipeline audit-ready. When Canva launches new products, pricing models or plan changes, you'll be the lead technical engineer working out how they flow through the revenue recognition pipeline, translating accounting treatment into data logic before the first transaction hits the books. At The Moment, This Role Is Focused On Revenue data pipeline ownership: Build and maintain the dbt models and Snowflake pipelines feeding into Canva's revenue recognition process, handling millions of billing and subscription service data with the reliability and auditability that month-end close depends on. Month-end close support: Partner with Revenue Accounting through each close cycle, making sure revenue data lands on time, reconciles cleanly, and issues are caught and resolved before they hit the books. Controls and data quality: Design and maintain the automated tests, reconciliation checks and control processes that keep the revenue pipeline accurate and audit-ready as Canva scales. New product enablement: Act as the lead technical engineer when new products, pricing models or plan changes launch, translating revenue accounting treatment into pipeline logic before transactions flow. Cross-Team Collaboration: Works with various stakeholders to continuously improve the efficiency and accuracy of data collection and preparation. You're probably a match if You have deep experience with SQL, Python and a modern data stack, ideally dbt and Snowflake (or equivalents like BigQuery/Databricks), and you treat data models as production software: tested, documented, version-controlled. You've built or owned high-volume data pipelines where accuracy genuinely mattered, financial, billing or transactional data especially, and you know how to make them reliable without making them fragile. You're comfortable working with orchestration and ingestion tooling (e.g. Airflow, Fivetran) and debugging issues across the full path from source system to reporting layer. You can sit with finance stakeholders, understand a business or accounting requirement, and translate it into data logic, then explain your design decisions back in plain language. You have the qualities that make analytics engineers successful in a finance context: precision, healthy