Senior Staff Data Engineer - Platform Data and Analytics

Faire is a technology wholesale platform focused on connecting independent retailers to a global market. They are seeking a Senior Staff Data Engineer to lead and influence multiple teams in data infrastructure and analytics, ensuring high performance, security, and reliability of data systems.

Responsibilities:

• Plan and execute on technology projects that scale with Faire’s growth; lead architecture development 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 the most difficult open-ended problems we face. Including cost-efficient compute and storage, ETL and ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance

Requirements:

• Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale
• Experience defining architecture patterns and building reliable, scalable data pipelines, orchestration of data movement, querying, transformation, and frameworks for analytics engineering workflows
• Strong SQL and Python skills and experience
• Data warehousing experience at Petabyte scale
• Snowflake, Airflow, Spark experience especially valuable
• Understanding of performance, capacity, cost trade-offs in data processing systems. Experience in guiding technical and product teams on such trade-offs
• Experience diagnosing, mitigating, and permanently addressing data system production issues at scale. Experience rolling out patterns for workload performance and cost optimization
• Experience operating in a growth stage company, with a data function consisting of multiple teams and over 60 people. Enabling teams to operate in a self-serve model
• Excellent communication, leadership, and influencing skills
• A bachelor's degree in Computer Science/Software Engineering or equivalent industry experience
• Select technologies we use and teach: AWS, Snowflake, Airflow, Spark, Python, Kotlin