Faire

4 weeks ago

Senior Staff Data Engineer - Platform Data and Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Lead data engineering efforts across the Platform Data and Analytics teams, defining technology strategy, architecture patterns, and governance to scale data ingestion, storage, and analytics. Influence multiple platform and product groups, mentor engineers, and balance long-term goals with near-term delivery to empower data-driven decision making for Faire’s global marketplace.

Location: Waterloo, Toronto, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key 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 ETL/ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.
•Influence and interact with all data/analytics related functions across Faire (data science, strategy & analytics, finance).
•Define technology strategy, roadmaps, architecture patterns and guidance; balance technical leadership with hands-on development.

Key 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.

Experience:Data analyticsPlatform dataAnalytics engineeringETL/ELTData pipelines

Education:Bachelor's

Skills:LeadershipCommunicationMentoringInfluencingCollaboration

Languages:English

Tech Stack:AWSSnowflakeAirflowSparkPythonKotlin

Company Brief

Faire

Operates a wholesale marketplace connecting independent retailers with emerging and established brands, providing ordering, logistics, and payment solutions to help small businesses discover and stock unique products.

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: San Francisco, United States

Founded: 2017

Website LinkedIn

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Faire

4 weeks ago

Senior Staff Data Engineer - Platform Data and Analytics

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Waterloo, Toronto, San Francisco

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Key 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 ETL/ELT pipelines, data ingest and warehousing, monitoring, alerting, and cost tracking for workloads, design practices for foundational assets, data security, privacy, and governance.
•Influence and interact with all data/analytics related functions across Faire (data science, strategy & analytics, finance).
•Define technology strategy, roadmaps, architecture patterns and guidance; balance technical leadership with hands-on development.

Key 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.

Experience:Data analyticsPlatform dataAnalytics engineeringETL/ELTData pipelines

Education:Bachelor's

Skills:LeadershipCommunicationMentoringInfluencingCollaboration

Languages:English

Tech Stack:AWSSnowflakeAirflowSparkPythonKotlin

Company Brief

Faire

Industry: Online Marketplaces

Company Size: Enterprise (1,001+ employees)

Growth: Scaleup

Valuation: Unicorn (USD 1B+)

Headquarters: San Francisco, United States

Founded: 2017

Website LinkedIn