Senior Data Platform Engineer - Analytics & Scale

Faire; Ontario (CA); Hybrid; USD 165,000 - 227,000; Full time

Benefits offered by this job

Equity

Job summary

Faire is seeking a highly experienced technical leader in the data space to guide multiple Platform and Product groups. You will define technology strategy, roadmaps, and architecture patterns while balancing hands-on development with leadership.

The role influences Data Infrastructure and Analytics Platform teams, focusing on scalable data pipelines, governance, and cost-efficient data infrastructure to support millions of users across Faire’s marketplace.

Qualifications

• Experience designing 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.

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/storage, ETL/ELT pipelines, data ingest and warehousing, monitoring, alerting, and governance.

Skills

Data leadership

SQL & Python

Data pipelines

Snowflake

Airflow

Spark

AWS

Architectural patterns

Mentorship

Education

Bachelor's degree in Computer Science or related field

Tools

Snowflake

Airflow

Spark

Python

Kotlin

AWS

Job description

Faire is seeking a highly experienced technical leader in the data space to guide multiple Platform and Product groups. You will define technology strategy, roadmaps, and architecture patterns while balancing hands-on development with leadership.

The role influences Data Infrastructure and Analytics Platform teams, focusing on scalable data pipelines, governance, and cost-efficient data infrastructure to support millions of users across Faire’s marketplace.