Senior Software Engineer

Senior Software Engineer - Platform Data and Analytics Join to apply for the Senior Software Engineer - Platform Data and Analytics role at Faire About Faire Faire is an online wholesale marketplace built on the belief that the future is local—the independent retailers around the globe do more revenue than Walmart and Amazon combined, but individually they are small compared to these massive entities. At Faire, we use technology, data, and machine learning to connect this thriving community of entrepreneurs worldwide. We help boutique shops discover and sell the best products from around the world, leveling the playing field so that small businesses compete with big‑box giants. About This Role Our Engineering organization owns the software that makes the marketplace work. The Platform group supports teams across Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, and more. The Data Infrastructure team builds and operates a secure, reliable, cost‑efficient platform for data ingestion, storage, compute, orchestration, and governance. The Analytics Platform team accelerates data‑driven analytics to reduce time from data to insights. The Teams Focus On The Following Areas And Capabilities Cost‑efficient storage for batch and streaming across multiple compute engines Optimized compute environments and workflow orchestration ETL and ELT pipelines Data ingestion and warehousing Monitoring, alerting, and cost tracking for workloads Automation of analytics functions Data security, privacy, and governance We’re looking for: An experienced engineer with data and analytics experience to develop and deliver technical projects and collaborate with other teams. What You’ll Do Plan and execute technology projects that scale with growth; contribute to architecture emphasizing data integrity, security, performance, scale, reliability, and monitoring/alerting. Engage in team planning and prioritization, balancing urgent needs with long‑term goals. Provide technical guidance and mentorship on complex open‑ended problems. Qualifications Strong Python skills and experience. Experience building reliable, scalable workflow orchestration frameworks for data and analytics use‑cases. Experience with data pipelines, data warehousing, ETL/ELT, and analytics. Thorough understanding of operational aspects: SLOs, observability, infrastructure‑as‑code. Understanding of performance and cost trade‑offs in cloud environments (e.g., AWS, Snowflake, Kubernetes). Experience diagnosing, mitigating, and permanently addressing production issues at scale. Strong communication skills. A bachelor's degree in Computer Science, Software Engineering, or equivalent industry experience. Public cloud infrastructure (AWS preferred). Scaling high‑volume, high‑traffic systems. Capacity cost trade‑offs. Knowledge of technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin. Salary Range Canada: $156,000 – $214,500 per year. This role may also be eligible for equity and benefits. Base pay is determined by transferable skills, work experience, market demands, and location. Hybrid Faire employees currently go into the office 2 days per week (Tuesdays and Thursdays) and, effective starting in January 2026, will be expected to attend a third flex day (Monday, Wednesday, or Friday). Hybrid roles may work remotely up to 4 weeks per year. Some positions may require onsite attendance 5 days per week. Applications for this position will be accepted for a minimum of 30 days from the posting date. Why you’ll love working at Faire We are entrepreneurs: built for entrepreneurs by entrepreneurs, empowering founders worldwide. We use technology and data to level the playing field for small businesses. We build products our customers love, helping them grow. We are curious and resourceful, exploring possibilities and testing assumptions. Faire provides equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity, or gender expression. Faire is committed to providing access, equal opportunity, and reasonable accommodation for individuals with disabilities in employment. Accommodations are available throughout the recruitment process. To request a reasonable accommodation, please fill out our Accommodation Request Form: https://bit.ly/faire-form. Privacy For information about the type of personal data Faire collects from applicants and your choices, please visit Faire’s Privacy Notice: https://www.faire.com/privacy #J-18808-Ljbffr