About this roleOur Engineering organization owns the software that makes our marketplace work. The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc., enabling them to build and operate software with speed and quality.We value good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We care about availability, performance, and best practices that achieve high reliability.This roleWe are looking for a highly experienced technical leader in the data space whose influence spans multiple Platform and Product groups. The role will shape data strategy across the Platform, guiding infrastructure, warehousing, analytics, and cross‑functional teams.Platform TeamsThe Data Infrastructure team builds and operates a secure, reliable, cost‑productive platform for data ingestion, storage, compute, orchestration, and governance.The Analytics Platform team builds efficient data warehousing capabilities, foundational data assets, and tools to accelerate data‑driven analytics, with a mandate to reduce time from data to insights.These teams also manage relationships with relevant technology infrastructure vendors and collaborate with all data‑and‑analytics functions at Faire, including product analytics engineering, data science, strategy & analytics, and finance.What you’ll doPlan and execute technology projects that scale with Faire’s growth; lead architecturedevelopment focused on data integrity, security, performance, reliability, and monitoring/alerting.Engage in team planning and prioritization,



balancing urgent near‑term needs with long‑term goals.Provide technical guidance and mentorship on open‑ended problems, including cost‑efficient compute and storage, ETL/ELT pipelines, data ingest and warehousing, monitoring, alerting, cost tracking, foundational assets design, data security, privacy, and governance.QualificationsExperience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, and workflow systems at scale.Experience defining architecture patterns and building reliable, scalable data pipelines and analytics engineering workflows.Strong SQL and Python skills.Experience with petabyte‑scale data warehousing.Snowflake, Airflow, and Spark experience are especially valuable.Understanding of performance, capacity, and cost trade‑offs in data processing systems, and ability to guide technical and product teams on these trade‑offs.Experience diagnosing, mitigating, and permanently addressing data system production issues at scale, and rolling out patterns for performance and cost optimization.Experience operating in a growth‑stage company with a multi‑team data function and over 60 people, enabling teams to operate in a self‑serve model.Excellent communication, leadership,



and influencing skills.Bachelor’s degree in Computer Science/Software Engineering or equivalent industry experience.Preferred technology stack: AWS, Snowflake, Airflow, Spark, Python, Kotlin.Salary RangeCanada: $228,000 to $313,500 per year.This role will also be eligible for equity and benefits. Actual base pay will be determined based on transferable skills, experience, market demands, and primary work location.Work arrangementHybrid: office 3 days per week on Tuesdays, Thursdays, and a third flex day of your choosing (Monday, Wednesday, or Friday). Hybrid in‑office roles can work remotely up to 4 weeks per year. Certain workplace and IT positions may require onsite attendance 5 days per week, as indicated in the job posting.Equity and BenefitsCompetitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.Equal Employment OpportunityFaire provides equal employment opportunities (EEO) to all employees and applicants for employment 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, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs.#J-18808-Ljbffr

📌 Senior Staff Data Engineer - Platform Data And Analytics - C$228,000 - C$300,000 A Year (Winnipeg)
🏢 Faire
📍 Winnipeg