Senior Staff Data Engineer - Platform Data and Analytics

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.

Canada: the pay range for this role is $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 permissible factors such as transferable skills, work experience, market demands, and primary work location. The base pay range provided is subject to change and may be modified in the future.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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).

Additionally, 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.

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.