Faire

4 months ago

Senior Analytics Engineer - Marketplace

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Senior Product Analytics Engineer responsible for shaping Faire's product analytics by building scalable data models and pipelines, embedding AI into workflows, and partnering with Data Scientists, Product Analysts and Software Engineers to drive data-driven product decisions for SMBs. You will lead cross-team projects, implement high-performance data storage solutions, and ensure data quality and security while advancing analytics platforms.

Location: Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
•Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
•Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
•Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
•Optimize processes for operational excellence in project management and system reliability.

Key Requirements

•4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
•Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
•Production-level development experience in Python.
•Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
•Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.

Experience:4+ yearsData analyticsData engineeringData warehousingETLAIAnalytics platforms

Education:Bachelor's

Skills:CommunicationLeadershipCollaborationStakeholder managementProblem-solving

Languages:English

Tech Stack:PythonSQLAirflowDockerDBT

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 months ago

Senior Analytics Engineer - Marketplace

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 19 hours agoStatus: Live

Job Summary

Location: Toronto

Workplace: Hybrid

Employment Type: Full time

Job Function: Data Analytics & Business Intelligence

Seniority: Sr. Manager level

Key Responsibilities

•Lead cross-team and/or multi-phase projects from design through implementation, fostering collaboration with cross-functional partners.
•Lead the technical execution in building scalable data models and pipelines for a domain defining the architecture, feature requirements, roadmap.
•Build data pipelines with rigorous approaches to data quality, validation, testing, and observability.
•Redefine how we build, maintain, and scale data systems by embedding AI into our daily workflows.
•Optimize processes for operational excellence in project management and system reliability.

Key Requirements

•4+ years experience in analytics & data engineering roles focused on data modeling, large-scale data processing, and tool development for analytics or data science use cases.
•Demonstrated communication and leadership skills, with a history of initiating and steering successful projects across multiple stakeholders.
•Production-level development experience in Python.
•Strong SQL skills with demonstrable competencies in designing well-architected data models and optimizing query performance.
•Deep experience and knowledge of data warehousing concepts, ETLs, big data technologies, and analytics platforms.

Experience:4+ yearsData analyticsData engineeringData warehousingETLAIAnalytics platforms

Education:Bachelor's

Skills:CommunicationLeadershipCollaborationStakeholder managementProblem-solving

Languages:English

Tech Stack:PythonSQLAirflowDockerDBT

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