About the Team

The Analytics and Reporting Components (ARC) team is responsible for re-architecting Stripe's analytical foundation to deliver a unified, trustworthy, and consistent data experience across the Stripe Dashboard. The team builds the ARC Framework, which includes a centralized "define-once, use-everywhere" Analytics Layer for metrics enabling a robust suite of presentational components for consistent reporting across our analytics products. Our mission is to empower both Stripe product teams and end-merchants with reliable, transparent, and actionable insights.

The Role

As a Staff Software Engineer on the ARC team, you will be a key technical leader, deeply involved in the design and implementation of the backend platform and data systems that power core analytical experiences like Payment Analytics, Billing Analytics, and Sigma experiences. You will act as a deep technical expert and force multiplier for the team, personally driving large, ambiguous projects from end-to-end to ensure a cohesive, performant, and reliable data integrity experience.

Technical Design & Execution: Drive the technical design and execution for the ARC framework and its core components (Analytics Layer, reporting architecture), partnering with Technical Leads to ensure alignment with the team's overall technical strategy. You will personally author and drive the designs for new systems and significant improvements to existing architecture.

Technical Leadership: Act as a force multiplier for the team by providing technical guidance and mentorship, and leading by example through high-quality code contributions, proactive code reviews, and advocating for maintainable systems and high-quality abstractions.

Platform Development: Be a highly proficient coder who writes foundational pieces of new systems. You will design, build, and maintain the most complex and critical parts of the Analytics Layer (AL) and the underlying reporting platform, ensuring seamless integration with Stripe’s broader data infrastructure.

• Project Execution: Shepherd large, ambiguous software projects from inception to deployment, taking ownership of technical decision-making and project pace to deliver landed impact for merchants.

Cross-functional Influence: Partner with Data Foundations, Product Management, and core product teams to align the ARC technical roadmap with Stripe’s broader data and AI goals, leveraging your deep system expertise to resolve gnarly technical problems.

• Customer Impact: Ensure the framework delivers unprecedented transparency, allowing merchants to "look under the hood" of charts to understand and customize their business metrics.
• Who you are
• Deep, hands-on experience as a Staff/Principal Software Engineer building developer platforms, frameworks, or complex data visualization tools.
• A strong background in backend engineering, data architecture, and deep expertise in modern data architecture (e.g., semantic layers, SQL-based analytics).
• Demonstrated ability to define and drive large-scale technical initiatives, and navigate a large organization to drive the adoption of shared standards and components.
• Proven track record of driving significant technical contributions and being the domain expert for multiple complex systems.
• Fluency in a team’s codebase and a consistent record of personally delivering high-leverage technical projects.
• Passion for building high-quality, opinionated data systems that simplify complex data for end-users.
• Preferred qualifications
• Has experience writing production-level code and expertise in Flink, Spark, Airflow, Python, Java, SQL, Trino, Pinot, and API design is a plus.
• Experience packaging and deploying code into cloud-based environments (AWS, GCP, Azure) with tools including Bazel, Docker Containers, etc
• Has experience designing APIs or building developer platforms
• Has experience with scaling distributed systems in a rapidly moving environment
• Has experience working with data pipelines
• Experience with industry-grade data transformation solutions such as dbt; familiarity with SQLMesh is a plus

Genuine enjoyment of innovation and a deep interest in understanding how things work