Senior Staff Data Engineer - Platform Data and Analytics
About this role
Our 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 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.
We’re looking for:
An experienced technical leader with data and analytics background to work alongside and lead / influence across multiple teams and departments. Define technology strategy, roadmaps, architecture patterns and guidance. Striking the right balance of technical leadership and hands‑on development.
What you’ll do
- 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.
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.
Salary Range
Canada: the pay range for this role is $228,000 to $313,500 per year.
Hybrid Work Arrangement
Hybrid Faire employees currently go into the office 3 days per week on Tuesdays, Thursdays, and a third flex day of their choosing (Monday, Wednesday, or Friday). Hybrid in‑office roles will have the flexibility to work remotely up to 4 weeks per year. Specific Workplace and Information Technology positions may require onsite attendance 5 days per week as will be indicated in the job posting.
Equal Employment Opportunity
Faire 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.
Accommodation Request
Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment. Accommodations are available throughout the recruitment process. 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. To request reasonable accommodation, please fill out our Accommodation Request Form.
Privacy Notice
For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice.
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