Who you are

• An experienced engineer with data and analytics experience to work alongside our highly talented team, develop and deliver technical projects, and engage with other teams in the organization
• 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, analytics is very valuable
• 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 tradeoffs
• Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin

What the job involves

• The Platform group empowers teams across Faire: Product Engineering, Data Science, Product Management, Strategy, Analytics, Finance, etc. Enabling these functions to do their best work without concern about underlying infrastructure
• We enable product engineering teams to build and operate software with unmatched speed and quality
• We care about good engineering practices, excellent developer experience, security, testability, ease of maintenance, and scaling to serve millions of users. We value best practices to achieve excellent availability and performance
• The Data Infrastructure team builds and operates a secure, reliable, cost-efficient, opinionated platform for data ingestion, storage, compute, orchestration, and governance
• The Analytics Platform team builds capabilities to accelerate data-driven analytics, improve productivity and accuracy at Faire. Its mandate is 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 (extract, transform, load) and ELT (extract, load, transform) pipelines
• Data ingestion and warehousing
• Monitoring, alerting, and cost tracking for workloads
• Automation of analytics functions
• Data security, privacy, and governance
• The teams also own relationships with select infrastructure vendors
• Plan and execute on technology projects that scale with our growth; contribute to our architecture with a focus on data integrity, security, performance, scale, reliability, monitoring/alerting
• Engage with team planning and prioritization, balancing urgent and near-term needs with long-term goals
• Provide technical guidance and mentorship on difficult open-ended problems

Benefits

• Comprehensive healthcare
• All of our offices have been designed with local in mind—from our architects to our coffee blends
• Paid vacation time, holidays, and company-wide “Faire Fundays.”
• Including a monthly credit toward your wellness-related programs
• Generous parental and family leave, as well as fertility support benefits
• Including free access to Modern Health therapists and resources
• Optional morning meditation, plus a free Headspace membership
• Faire will match up to US$250 of your charitable donations, every year
• For personal and professional development, as well as unlimited access to training courses through LinkedIn Learning
• Whether you want to grow as a leader, hone your craft, or explore a new discipline, our career framework allows space for you to explore