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Added 3 mins ago
Senior Financial Systems Analyst, Governance
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Faire

Senior Engineering Manager - Analytics Platform

Kitchener, ON, Canada
Toronto, ON, Canada

Canada: the pay range for this role is $190,500 - $262,000 per year.

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Job details

Pay: Canada: the pay range for this role is $190,500 - $262,000 per year.
Experience: Have 8+ years of experience in engineering roles, with at least 3+ years in engineering leadership positions
Posting language: English
Posted: Oct 27, 2026

Original job description

About Faire

Faire is a technology wholesale platform built on the belief that the future is local. Independent retailers around the globe collectively represent a multi-hundred-billion-dollar wholesale market that has historically been fragmented and offline. At Faire, we're using the power of tech, data, and machine learning to connect this thriving community of entrepreneurs across the globe. Picture your favorite boutique in town - we help them discover the best products from around the world to sell in their stores. With the right tools and insights, we believe that we can level the playing field so businesses can grow and local communities can thrive.

We’re looking for smart, resourceful and passionate people to join us as we power the shop local movement. If you believe in community, come join ours.

Help build the data foundation behind every decision at Faire:

Faire is building the operating system for local retail. Every day, hundreds of thousands of independent retailers and brands rely on Faire to discover products, grow their businesses, and compete with large marketplaces. Behind every product launch, experiment, and business decision is data, and how quickly and accurately teams can turn that data into insight shapes how fast Faire can move.

We’re hiring a Senior Engineering Manager to lead Faire’s Analytics Platform team. You will manage data warehousing, ETL pipelines, medallion data sets, BI tooling, and agentic analytics tools that teams across Faire rely on every day to make critical business decisions. The team’s mandate is to reduce the time from data to insights for Product Engineering, Data Science, Product Management, Strategy, Analytics, and Finance while ensuring high quality and freshness of that data.

This is not just a people management role. You will set the technical direction for the analytics platform, shape its strategy, and lead a team that other teams across the company depend on. You’ll partner closely with data scientists, analysts, and engineers to turn ambiguous needs into reliable, scalable, cost-efficient platform systems, and you’ll stay close enough to the architecture and code to lead your team well.

You’re excited about this role because…

You want to build and lead a team that owns foundational systems used across the entire company
You enjoy hard technical problems in data warehousing, pipelines, data quality, and the performance and cost trade-offs of data processing at scale
You care deeply about internal customer experience and want analysts and data scientists to trust the platform and find it easy to use
You’re excited about how AI agents are changing analytics work, and want to put those tools in the hands of the people who use the data
You love helping engineers grow and building a team culture of craft, ownership, and continuous learning

What you’ll do:

Directly manage, mentor, and grow a team of 8 engineers, helping each of them reach higher levels of impact in their careers
Set the technical vision and roadmap for Faire’s analytics platform, including data warehousing, ETL/ELT pipelines, foundational datasets, and BI tooling and integrations
Lead scoping, planning, and prioritization, balancing urgent near-term needs with long-term platform investments
Hold a high bar for data integrity, security, privacy, governance, reliability, and operational excellence across the platform
Own cost efficiency across storage and compute, with the right monitoring, alerting, and cost tracking for workloads
Build AI/LLM-powered tooling and automation that make analytics work faster and more accurate
Partner closely with Data Science, Analytics, Finance, and Product Engineering to understand their pain points and turn them into clear platform priorities
Triage and assign production issues and defects alongside planned work, and identify the infrastructure or tooling changes that prevent them
Dive into the architecture, designs, and code so you can lead your team effectively
Manage relationships with select infrastructure vendors
Own process and team structure decisions, and attract, hire, and retain top engineering talent

We’re excited about you because you:

Have 8+ years of experience in engineering roles, with at least 3+ years in engineering leadership positions
Have experience building and operating data platforms, such as data warehousing, ETL pipelines, orchestration, and analytics engineering workflows
Have a strong technical background you still use every day, including strong Python and SQL, and are willing to write software for a couple of months as part of your onboarding
Understand the performance, capacity, and cost trade-offs in data processing systems
Have experience diagnosing, mitigating, and addressing data system production issues at scale
Demonstrate strong internal customer empathy and a track record of building platforms or tooling with high adoption
Have a track record of leading teams to higher levels of contribution and helping engineers grow their careers
Are comfortable bringing clarity and structure to ambiguous, cross-functional problems
Have strong communication skills and can work well with both technical and non-technical partners
Have a Bachelor’s degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience

Bonus points if you:

Have experience with Snowflake or other cloud data warehouses
Have led through other managers
Have a postgraduate degree in computer science, data science, data analytics, or mathematics

Technologies we use & teach:

(Experience in similar technologies is welcomed)

Languages: Kotlin, Python, SQL
Infrastructure: AWS, Airflow, dbt, Snowflake, Databricks, Spark, Flink, Kafka, Fivetran, MySQL, CockroachDB, Mode
AI Tools: Claude Cowork, Codex, Cursor

Salary range:

Canada: the pay range for this role is $190,500 - $262,000 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.

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.

Why you’ll love working at Faire

Move fast: You'll own meaningful problems that serve customers around the globe with the agency to move fast and see your results clearly.
Equipped to scale: We invest in what matters, including the latest enterprise AI tools, to help you work smarter and get more out of every day.
Best in class: Our team is full of sharp, kind, and generous colleagues who care about their craft and about helping you grow in yours.
Real rewards. Competitive pay, equity, and comprehensive benefits designed to support your life inside and outside of work.
Belonging: We're intentional about building an environment where every Faire employee has equal access to opportunities, growth, and success.

Faire was founded in 2017 by a team of early product and engineering leads from Square. We’re backed by some of the top investors in retail and tech including: Y Combinator, Lightspeed Venture Partners, Forerunner Ventures, Khosla Ventures, Sequoia Capital, Founders Fund, and DST Global. We have headquarters in San Francisco and Kitchener-Waterloo, and a global employee presence across offices in Toronto, London, and New York. To learn more about Faire and our customers, you can read more on our blog.

Faire provides equal employment opportunities (EEO) to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, genetics, sexual orientation, gender identity or gender expression.

Faire is committed to providing access, equal opportunity and reasonable accommodation for individuals with disabilities in employment, its services, programs, and activities. Accommodations are available throughout the recruitment process and applicants with a disability may request to be accommodated throughout the recruitment process. We will work with all applicants to accommodate their individual accessibility needs. To request reasonable accommodation, please fill out our Accommodation Request Form ()

Privacy

For information about the type of personal data Faire collects from applicants, as well as your choices regarding the data collected about you, please visit Faire’s Privacy Notice (https://www.faire.com/privacy)

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More about this job

Responsibilities

You will lead the Analytics Platform team to manage data warehousing, ETL pipelines, and BI tooling while setting the technical vision for the company's data infrastructure. You will also mentor a team of engineers and partner with cross-functional stakeholders to turn ambiguous needs into scalable, reliable platform systems.

Requirements

Candidates must have 8+ years of engineering experience, including at least 3 years in leadership roles, with a strong background in data platforms and software development. Proficiency in Python and SQL is required, along with the ability to manage complex data systems at scale and lead high-performing teams.

Skills

Engineering management
Data warehousing
ETL pipelines
Python
SQL
Data platform architecture
Cloud data warehouses
Snowflake
Data governance
Team leadership
Mentorship
AI/LLM tooling
BI tooling
System scalability
Cost efficiency
Operational excellence

Benefits

Equity
Comprehensive benefits

Visa sponsorship

Not detected in the job text

Keywords

Analytics Platform
Data Warehousing
ETL
ELT
Python
SQL
Snowflake
Airflow
dbt
Databricks
Spark
Kafka
Engineering Management
Data Governance
AI Agents
LLM
Cloud Infrastructure
Data Integrity
BI Tooling
Operational Excellence
Data Science
Platform Engineering
Kotlin
MySQL
CockroachDB
Fivetran
Data Pipelines
Medallion Architecture
Technical Strategy
Mentorship

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