Senior Analytics Engineer - Remote

Overview

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 5000 software sellers in 245 territories globally.

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.

In Short

• 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.

Requirements

• 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, Snowsight) to deliver clear, actionable insights for business stakeholders.
• Skilled in performing data ingestion and activation using no-code tools (e.g. Fivetran, Stitch), ensuring efficient data integration into operational systems.
• Knowledgeable in managing metadata, documentation, data quality checks, and sensitive data masking effectively.
• Effective at collaborating closely with diverse stakeholders, understanding their data needs, and delivering impactful solutions.
• Experienced in conducting training sessions and providing informal mentorship to junior analytics team members, fostering a collaborative and knowledge-sharing environment.

Benefits

• We offer a full suite of benefits, including attractive salaries, stock options, retirement plans, private healthcare and well-being initiatives.
• We are a ‘digital-first’ company, which means you can work remotely, from one of our stylish hubs, or even a bit of both!
• We offer all team members unlimited holidays and enhanced parental leave.
• We invest in learning and will help you with your personal development via constant exposure to new challenges, an annual learning fund, and regular internal and external training.