About Stripe Stripe is a financial infrastructure platform for businesses. Millions of companies - from the world's largest enterprises to the most ambitious startups - use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone's reach while doing the most important work of your career.About The Team We are experts in data, working to make it cost-effective, understandable, and trustworthy. We build pipelines processing billions of events a day and are stewards of canonical data warehouses and datasets delivering products for Stripe users while embedding with teams to build their data products. We are experts in using the Stripe Data Platform and to scale we lead the data culture and data education to enable product teams to own their data. We invest in AI-driven Data Ops to scale incident handling and serve as an escalation path for data incidents to minimize their impact. The Data Engineering Solutions team will work closely with product teams delivering trustworthy data, backend code, and innovative AI tools, platforms, and services for data.What You Will Do We're looking for a person who could drive the Data Engineering Solutions team in solving high-impact, cutting-edge data problems. The ideal candidate will be someone that has built data pipelines for large scale volume, is deeply knowledgeable of key tools including Airflow, Spark, Kafka, and Flink, is empathetic, excels at building strong relationships, and collaborates effectively with other Stripe teams to understand their use cases and unlock new capabilities.ResponsibilitiesLead the technical outcomes for a team of ambitious, talented engineers, providing mentorship, guidance, and support to ensure their successPartner with our recruiting team to attract and hire top talentDeliver cutting-edge data pipelines that scale to users' needs,



focusing on reliability and efficiencyDevelop strong subject matter expertise and manage the SLAs of data pipelines and full stack web applications that support critical stakeholdersCollaborate with product managers and peers across the company to create or improve canonical datasets and data warehouses, use golden paths, and ensure Stripe and customers are using trustworthy dataLeverage AI, LLM, and Agents at scale to produce and analyze high-quality data on ambiguous problemsHave the opportunity to drive the execution of key data initiatives for Stripe, overseeing the entire development lifecycle from planning to delivery while maintaining high standards of quality and timely completionFoster a collaborative and inclusive work setting, promoting innovation, knowledge sharing, and continuous improvement within the teamWho You Are Minimum Requirements10+ years of experience building and operating data systems, pipelines, warehouses, infrastructure, and leading teamsA strong engineering background and passion for data, with prior experience writing and debugging data pipelines using a distributed data frameworkAn inquisitive nature when diving into data inconsistencies to pinpoint issues and resolve deep-rooted data quality issuesKnowledge of a backend development language (Scala, Java, or Go) and strong SQL experienceExtreme customer focus, with a commitment to partnering with product, leaders across the business, and other Stripe engineers to understand their use casesEffective cross‑functional collaboration, with the ability to think rigorously, communicate clearly, and make or coordinate difficult decisions and trade-offsThrives with high autonomy and responsibility in an ambiguous environmentAbility to foster and work in a healthy, inclusive, challenging, and supportive work environmentPreferred QualificationsExperience with Iceberg, Kafka, Change Data Capture, Flink, Spark, Airflow, Hive Metastore, Pinot,



Trino, AWS Cloud or similar tools is a huge plusOpen-source contributions are a huge plusExperience creating and maintaining data marts or warehouses to power business reporting needsExperience collaborating with Product, Go‑To‑Market, or Sales and Marketing teamsGenuine enjoyment of innovation and a deep interest in understanding how things work, with the ability to question and direct architectural decisionsStrong written and verbal communication skills for various audiences, including leadership, users, and company-wideIn-Office Expectations Office-assigned Stripe employees in most of our locations are currently expected to spend at least 50% of the time in a given month in their local office or with users. This expectation may vary depending on role, team, and location. For example, Stripe Delivery Center roles in Mexico City, Mexico, Bengaluru, India, and Dublin, Ireland work 100% from the office. Also, some teams have greater in-office attendance requirements to appropriately support our users and workflows, which the hiring manager will discuss. This approach helps strike a balance between bringing people together for in-person collaboration and learning from each other while supporting flexibility when possible.Pay and Benefits The annual US base salary range for this role is $224,000 - $336,000. For sales roles, the range provided is the role's On Target Earnings (OTE) range, meaning that the range includes both the sales commissions and sales bonuses target and annual base salary for the role. This salary range may be inclusive of several career levels at Stripe and will be narrowed during the interview process based on a number of factors, including the candidate's experience, qualifications, and location. Applicants interested in this role and who are not located in the US may request the annual salary range for their location during the interview process.Additional benefits for this role may include equity, company bonus or sales commissions and bonuses; 401(k) plan; medical, dental, and vision benefits; and wellness stipends.#J-18808-Ljbffr

📌 Staff Software Engineer, Data Engineering Solutions - $224,000 - $300,000 A Year (Toronto)
🏢 Stripe
📍 Toronto