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Added 14 mins ago
A
Coordonateur inventaire
Agropur
Longueuil, QC · St-Hubert Campus
- Full-time
…accordance with constraints and business rules, such as lot sizes, lead times, and logistics…
Added 14 mins ago
JE
Quality Assurance Manager
Johnson Electric
Stratford, ON · Canada - PM Stratford (General)
- Full-time
Lead the adoption of digital quality systems integrating manufacturing, laboratory, inspection, and customer data
Added 14 mins ago
F/
Business Manager
FCC / FAC
AB · Edmonton, Alberta
- Full-time
Lead divisional planning, objective setting and performance monitoring, and oversee progress against key initiatives and priorities
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System Validation Analyst (12 month contract)
Dynacare
Brampton, ON
- Contract
Lead or assist in the information system validation of new assay methodologies, new products and services and new equipment utilized in the laboratory operations, specifically changes…
Added 14 mins ago
D
Senior Data Scientist - Fraud Detection
DataVisor
Toronto, ON
- $120,000 to $150,000 CAD / year
- Full-time
We are looking for a Senior-Level Data Scientist to join our Fraud Detection team - someone equally comfortable building production ML models and getting hands-on with individual fraud…
Added 14 mins ago
PROJECT MANAGER BUSINESS TRANSFORMATION (PERFORMANCE MEASUREMENT)
City of Toronto
Toronto, ON
You’ll be the lead for the division’s performance measurement framework, work on program and policy evaluations, and work on service levels for the budget. You’ll be a senior member of a…
Added 14 mins ago
V
Data Engineer
V2Soft
Windsor, ON
- Contract
The Data Acquisition Engineer will be responsible for setting up and conducting data acquisition using various data acquisition systems. This involves coordinating test specimen build,…
Added 14 mins ago
T
Logistics and Transportation Coordinator
Techo-Bloc
Longueuil, QC · Saint-Hubert, QC
- Full-time
…they use every day. If you like solving problems, working with data and making operations run better, this role is for…
Added 14 mins ago
R
202610-127399 AI/ML Compliance Lead
Roche
Mississauga, ON
- Full-time
…We seek an individual with excellent knowledge of the pharma data ecosystem, informatics systems, tools, and techniques with a focus on quality and compliance. As the AI/ML Compliance Lead…
Added 14 mins ago
CI
Senior Technical Business Analyst -- AMADC6063273
Compunnel Inc.
Toronto, ON
- $70 to $75 CAD / hour
- Contract
…objectives and ensure the integrity and quality of financial data. This involves vendor/in-house application deployment, onboarding of business processes to ERP, enhancements, steady state…
Added 14 mins ago
ZS
ServiceNow Architect
Zodiac Solutions, Inc
Toronto, ON
- Full-time
1. Lead end-to-end solution architecture for ServiceNow AIOps and IT operations transformation initiatives.
Added 14 mins ago
BS
ServiceNow AIOps Architect.
BULL-IT SOLUTIONS LTD
Toronto, ON
- Full-time
Key Responsibilities -1. Lead end-to-end solution architecture for ServiceNow AIOps and IT operations transformation initiatives.2. Design AIOps architecture for event ingestion,…
Added 14 mins ago
T
ServiceNow Architect
Tekshapers
Toronto, ON
- Full-time
Lead end-to-end solution architecture for ServiceNow AIOps and IT operations transformation initiatives.
Added 30 mins ago
MarTech / AdTech Technical Lead
Capgemini
Mississauga, ON
As a MarTech / AdTech Technical Lead, you will lead solution design and technical delivery across the marketing and advertising technology ecosystem, including customer data platforms…
Added 30 mins ago
Manager, GTB Financial Planning & Analysis - Finance
Scotiabank
Toronto, ON
Lead and drive a customer focused culture throughout their team to deepen client relationships and leverage broader Bank relationships, systems, and knowledge.
Added 30 mins ago
Software Dev Engineer, AWS Transactional Services
Amazon
Toronto, ON
Design and build innovative technologies in a large distributed computing environment and help lead fundamental changes in the industry.
Added 44 mins ago
SM
RQ11571 – Information Architect – Senior
S M Software Solutions Inc
Toronto, ON
- Full-time
…information architecture, information management, metadata standards, data governance, semantic models, and information classification frameworks. The successful candidate will work closely…
Added 44 mins ago
S
Specialist, Procurement (Inventory & Field Operations)
SaskPower
Estevan, SK
- Full-time
Lead and/or participate in cross-functional projects to provide functional expertise for corporate and departmental strategic planning initiatives
Added 44 mins ago
GC
Coordinator, Environment
Glencore Canada
Elkford, BC
- $96,000 to $113,000 CAD / year
- Full-time
Reporting to the Lead, Environment, the Coordinator, Environment is primarily responsible for the management, quality assurance, analysis, and reporting of environmental compliance data to…
Added 44 mins ago
BC
Quality and Patient Safety Consultant
Brant Community Healthcare System
Brantford, ON
- Full-time
At BCHS, we are driven by a bold vision: To Lead Beyond Care. As a two-site community hospital system in Brantford and Paris, Ontario, we serve with purpose, passion, and a deep commitment…
Added 44 mins ago
AI
Gen AI Engineer
Apptoza Inc.
Toronto, ON
- Contract
Lead the development and delivery of enterprise GenAI products, pilots, and scalable AI solutions.
Added 44 mins ago
SS
Paid Media Coordinator
Sky Systems, Inc. (SkySys)
Canada
- Full-time
Implement data-driven optimizations as directed by the AMER Performance Marketing lead (budget and bid adjustments, targeting changes, pausing ads).
Added 44 mins ago
O
National Accounts Director
OPENLANE
Brampton, ON
- $100,000 to $125,000 CAD / year
- Full-time
Data Analytics Fluency: Advanced ability to analyze client metrics, including inventory pipelines, conversion rates, and macro-economic factors to determine client health and provide…
Added 44 mins ago
A
Sr. Data Migration SME
Akkodis
Toronto, ON
- Contract
…effectiveness through the adoption of modern technology and data-driven decision-making. As part of a large-scale enterprise transformation initiative, the organization is investing in…
Added 44 mins ago
SM
AI Solutions Developer
Sandbox Mutual Insurance
Saskatoon, SK
- Full-time
…artificial intelligence and intelligent automation. You'll lead the discovery, design, and implementation of AI-powered solutions that improve business processes, enhance customer…

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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