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Added 17 days ago
Staff Data Platform Engineer - Snowflake
RBC
Toronto, ON
Full-time
Join RBC's Cloud Data Lake Platform (Snowflake) Engineering team as a Staff Data Platform Engineer, where you'll play a critical role in designing, building, and operating one of Canada's…
Added 12 days ago
Staff Data Platform Engineer - Snowflake
Royal Bank of Canada
Toronto, ON
Full-time
Join RBC's Cloud Data Lake Platform (Snowflake) Engineering team as a Staff Data Platform Engineer, where you'll play a critical role in designing, building, and operating one of Canada's…
Added 2 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 2 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 2 days ago
Senior Data Platform Engineer - Zonda - Toronto, ON
CoStar Group
Toronto, ON
$140,000 to $170,000 CAD / year
Full-time
Senior Data Platform Engineer: Senior Data Platform Engineer – Zonda – Toronto, ON
Added 1 month ago
Senior Snowflake Engineer
Princeton IT Services, Inc
Toronto, ON
Full-time
We are building a modern data platform centered on Snowflake and we re seeking a Snowflake-focused data professional to design, build and operationalize Snowflake-native solutions. The role…
Added 4 days ago
Data Platform Engineer
Apexon
Toronto, ON
Full-time
The primary focus of this role will be to design, build, and maintain the EMFI Data Application Platform, a financial analytics application. The incumbent will work across the full stack to…
Added 5 days ago
Data Platform Engineer
Apexon
Toronto, ON
Full-time
We're looking for a Senior Backend Platform Engineer with strong Python development experience and a solid background in building cloud-native applications, microservices, and REST APIs.…
Added 2 months ago
Senior DevOps / Platform Engineer - Cloud
Dominion Dynamics
Ottawa, ON
Full-time
Stand up and run the cloud platform as code, top to bottom - IaC, orchestration (Kubernetes or equivalent), networking, secrets, identity. No snowflake servers, no manual provisioning.
Added 2 months ago
Data Platform Engineer
Princeton IT Services, Inc
Toronto, Ontario
Full-time
Job Overview: The primary focus of this role will be to design, build, and maintain the EMFI Data Application Platform, a financial analytics application. The incumbent will work across the…
Added 2 months ago
Data Platform Engineer
Princeton IT Services, Inc
Toronto, Ontario
Contract
The primary focus of this role will be to design, build, and maintain the EMFI Data Application Platform, a financial analytics application. The incumbent will work across the full stack to…
Added 1 month ago
Data Platform Engineer
Princeton IT Services, Inc
Toronto, ON
Full-time
The primary focus of this role will be to design, build, and maintain the EMFI Data Application Platform, a financial analytics application. The incumbent will work across the full stack to…
Added 8 days ago
Data Platform Engineer
ITMC Systems, Inc
Toronto, ON
Contract
Job Overview We are seeking a Senior Backend Data Platform Engineer (10+ years experience) to design, build, and maintain our EMFI Data Application Platform, a high-throughput financial…
Added 18 days ago
Senior Data Engineer - Snowflake - Contract
Propel
Canada
Contract
We are looking for a Snowflake Data Engineer to help build and maintain their cloud data warehouse and pipelines. This is a hands on role that involves taking ownership of moderately…
Added 19 days ago
Staff Machine Learning Platform Engineer
Faire
Kitchener, ON · Toronto, ON
As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the…
Added 1 month ago
Senior Staff Machine Learning Platform Engineer
Faire
Kitchener, ON · Toronto, ON
As the Senior Staff Machine Learning Platform Engineer, you will own the technical vision and evolution of Faire’s ML platform. You will set standards, influence org-wide architecture, and…
Added 2 days ago
Oracle EDQ Platform Engineer (contract)
Capgemini
Brampton, ON
Contract
We are seeking a highly skilled Oracle EDQ Platform Engineer to lead and support the migration of Oracle Enterprise Data Quality (EDQ) from on-premises environments to Microsoft Azure…
Added 11 days ago
Senior Platform Engineer, Data II
Mistplay
Toronto, ON
Full-time
…modernes d'entrepôt de données et de lakehouse (par exemple, Snowflake, BigQuery, Databricks, Delta Lake, Iceberg); expérience dans la construction et l'optimisation de systèmes analytiques…
Added 5 months ago
Senior Platform Engineer, Data II
Mistplay
Toronto, ON
Full-time
…modernes d'entrepôt de données et de lakehouse (par exemple, Snowflake, BigQuery, Databricks, Delta Lake, Iceberg); expérience dans la construction et l'optimisation de systèmes analytiques…
Added 11 days ago
Associate Principal Engineer - Snowflake AI Architect
Nagarro
Brampton, ON
Full-time
Enable teams to build with Snowflake CoCo - the Snowflake-native, data-aware AI coding agent - to accelerate data engineering, ML pipelines, and agent development in ways that respect…
Added 2 days ago
Oracle EDQ Platform Engineer
J&M Group
Brampton, ON
Contract
Perform platform upgrades, patching, and environment optimization
Added 10 days ago
SQL Server Customer Platform Engineer
Sonata Software North America Inc.
Toronto, ON
Full-time
Sonata Software, with over $1.2 Billion Revenue, is a leading AI-first Modernization Engineering company, powered by our unique Platformation TM framework. Our 6400+ AI Engineers are…
Added 2 months ago
Principal Engineer - Platform & Data
Masabi
Remote, Canada
Full-time · Remote
Working across the engineering organisation, you’ll act as a senior technical leader: defining and evolving architecture, guiding complex decisions, and contributing hands-on where it…
Added 2 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Fredericton, NB
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…
Added 2 days ago
Data Platform DevOps Engineer - Senior Consultant
Deloitte
Toronto, ON
Full-time
As a Data & AI Platform Engineer, you operate at the foundation of modern data and AI ecosystems - designing, deploying, and operating scalable, secure, and reliable platforms that enable…

Faire

Staff Machine Learning Platform Engineer

Kitchener, ON, Canada
Toronto, ON, Canada

Pay: Canada: the pay range for this role is $216,000 to $297,000 per year.
Experience: 8+ years of experience building production ML or data platforms
Posting language: English
Posted: Aug 31, 2026

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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.

About this role

As a Staff Machine Learning Platform Engineer, you will help design, improve, and operate a scalable ML platform to accelerate model training, deployment, and governance. You are the technical bridge between data science and production engineering. You’ll be joining a small but deeply critical team that scales Faire’s ability to support tens of thousands of local businesses in a constantly narrowing retail landscape.

What You Will Do

Design and operate ML infrastructure, including workspaces, clusters, jobs, and workflows
Productionize ML workloads using Spark, Delta Lake, MLflow, and Databricks Workflows
Teach data scientists how to utilize our ML platform to advance development from notebook to production for our most critical models
Implement Unity Catalog for data governance, lineage, access control, and secure multi-tenant usage
Build CI/CD pipelines for ML using Terraform and Git-based workflows (e.g., GitHub Actions)
Optimize performance, reliability, and cost across training and inference workloads
Configure Identity and Access Management (IAM) and Role Based Authentication Controls (RBAC) for sensitive data sets
Establish observability for data quality, model performance, and platform health
Build and maintain ML Platform technical documentation

What it takes

8+ years of experience building production ML or data platforms
A degree (preferably graduate level) in Computer Science, Engineering, Statistics, or a related technical field
Strong hands-on expertise with Databricks, Spark, Delta Lake, and MLflow.
Proficiency in Python, SQL, and distributed systems concepts
Experience with cloud platforms and infrastructure-as-code
Solid understanding of MLOps best practices: CI/CD, monitoring, reproducibility, and security
Experience supporting multiple ML teams in a shared platform environment
Are an active owner of orphaned problems and are willing to assimilate whatever knowledge you’re missing to get the job done

Tech Stack

Faire uses a modern cloud based tech stack. For this role, you’ll want to be proficient with the following:

Category	Technologies
Languages	Python, SQL, Kotlin
ML Frameworks	PyTorch, MLFlow
Big Data & Processing	Spark, Kafka, Databricks, Snowflake, Fivetran, Iceberg, Unity Catalog, Datadog, Airflow, Cockroach DB, MySQL
Cloud & Infrastructure	AWS, S3, SageMaker, Kubernetes, Docker, GitHub Actions, Terraform
Generative AI	Claude Sonnet 4.5, ChatGPT 5.2

Salary Range

Canada: the pay range for this role is $216,000 to $297,000 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.

Faire uses Artificial Intelligence (AI) to screen and select applicants for this position.

This job posting is for an existing vacancy.

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 (https://bit.ly/faire-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)

Apply About employer

More about this job

Responsibilities

Design and operate a scalable ML platform to accelerate model training, deployment, and governance. Act as the technical bridge between data science and production engineering to productionize ML workloads.

Requirements

Requires 8+ years of experience building production ML or data platforms and a degree in Computer Science or a related field. Must have strong expertise in Databricks, Spark, and MLOps best practices.

Skills

Databricks
Spark
Delta Lake
MLflow
Python
SQL
Terraform
AWS
Kubernetes
Docker
CI/CD
MLOps
Distributed Systems
Unity Catalog
PyTorch
GitHub Actions

Benefits

Equity
Comprehensive Benefits

Visa sponsorship

Not detected in the job text

Keywords

Machine Learning Platform
MLOps
Spark
Delta Lake
MLflow
Databricks
Unity Catalog
Terraform
GitHub Actions
AWS
S3
SageMaker
Kubernetes
Docker
PyTorch
Kafka
Snowflake
Fivetran
Iceberg
Datadog
Airflow
Cockroach DB
MySQL
Claude Sonnet
ChatGPT
Distributed Systems
CI/CD
Data Governance
RBAC
IAM

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