- Experience
- 8+ yrs
- Salary
- CAD 190,500 – CAD 262,000 / year
- Openings
- 1
- Posted
- 8 seconds ago
- Work mode
- Work from home
- Education
- Bachelor's degree in Computer Science, Software Engineering, or related field
- Resume
- Required to apply
Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.
Job description
Company Overview
Faire is a technology-driven wholesale platform dedicated to empowering local retail communities globally. By leveraging technology, data, and machine learning, we connect countless independent retailers and brands with a fragmented wholesale market. Our mission is to enable businesses to flourish through access to the best products worldwide, fostering thriving local communities.
Role Overview
We are seeking a Senior Engineering Manager to lead the Analytics Platform team at Faire. This team is critical to powering data-driven decisions across the company by managing data warehousing, ETL pipelines, medallion datasets, BI tools, and AI-powered analytics solutions. The role blends people leadership with technical ownership, steering strategy, architecture, and execution to deliver timely, reliable, and scalable analytics infrastructure.
Key Responsibilities
- Lead and mentor a team of eight engineers, fostering growth and elevating their impact.
- Define the vision and prioritize the roadmap for Faire’s analytics platform including data warehousing, ETL/ELT workflows, core datasets, and BI integrations.
- Balance urgent needs and strategic investments while maintaining data quality, security, privacy, and operational excellence.
- Optimize cost efficiency through monitoring and controlling storage and compute usage.
- Develop and integrate AI/LLM-based analytics tools to enhance speed and accuracy of data work.
- Collaborate closely with Data Science, Analytics, Finance, and Product Engineering to translate challenges into platform priorities.
- Manage production issue resolution and advocate for infrastructure improvements to prevent recurrence.
- Engage with architecture, codebases, and infrastructure vendor partnerships to effectively lead the team.
- Drive process improvements and structure changes while attracting and retaining top engineering talent.
Candidate Profile
- Minimum eight years of engineering experience including over three years in leadership roles.
- Proven expertise designing and operating data platforms with a focus on warehousing, ETL pipelines, orchestration, and analytics workflows.
- Strong hands-on skills in Python and SQL, prepared to contribute actively through code during onboarding.
- Deep understanding of trade-offs relating to system performance, capacity, and cost.
- Experience troubleshooting and mitigating large-scale data system production challenges.
- Demonstrated empathy for internal stakeholders and success in creating widely adopted platforms or tools.
- History of developing engineers and enhancing team contributions.
- Adept at clarifying complex, cross-functional problems and communicating effectively with technical and non-technical partners.
- Bachelor’s degree in Computer Science, Software Engineering, or comparable relevant experience.
Preferred Qualifications
- Experience with cloud data warehouse technologies like Snowflake.
- Leadership experience managing teams of managers.
- Advanced degrees in computer science, data science, analytics, or mathematics.
Technology Stack
- Languages: Kotlin, Python, SQL
- Infrastructure: AWS, Airflow, dbt, Snowflake, Databricks, Spark, Flink, Kafka, Fivetran, MySQL, CockroachDB, Mode
- AI Tools: Claude Cowork, Codex, Cursor
Compensation and Benefits
This full-time role based in Canada offers a salary ranging from $190,500 to $262,000 annually, complemented by equity and comprehensive benefits. The final base salary will be determined by factors including skills, experience, market conditions, and work location, and may be adjusted over time.
Work Environment
Faire employees working in a hybrid model typically come to the office three days per week with flexibility for a fourth remote week per year. Some roles may require fully onsite presence.
Why Join Faire
- Opportunity to directly influence global customer solutions with meaningful challenges.
- Access to cutting-edge AI enterprise tools to boost productivity and innovation.
- Work with skilled, collaborative colleagues devoted to craftsmanship and personal growth.
- Attractive pay, equity, and a strong benefits package supporting work-life balance.
- Inclusive culture ensuring equal access to opportunity and success.
Diversity & Inclusion & Accessibility
Faire is an equal opportunity employer committed to accessibility and providing reasonable accommodations throughout the recruitment process for individuals with disabilities.
Minimum education
Bachelor's Degree