Faire

Faire

Senior Staff Data Engineer - Platform Data and Analytics

Remote (Worldwide)RemotePosted Today$276,000 – $379,500
Full TimeSeniorRemote

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Job Description

About FaireFaire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale

Key Highlights

  • 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 efficient data warehousing capabilities, foundational data assets, and tools to accelerate data-driven analytics. Its mandate is to reduce time from data to insights.
  • 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.
  • Experience designing, developing, and operating data streaming, batch, ETL/ELT, orchestration, storage, compute, workflow systems at scale.

Qualifications

Required Qualifications

  • 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.

Skills & Technologies

Machine LearningSQLPythonAWSKotlinGo

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Job Details

Employment Type

Full Time

Experience Level

Senior

Salary Range

$276,000 – $379,500

Location

Remote (Worldwide)

Work Mode

Remote

Posted

Today