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Added 9 mins ago
Technology Product Management Lead Business Analyst Vice President
Citi
Mississauga, ON
Full-time
The Technology Product Management Lead Analyst is a senior individual contributor (IC) position responsible for liaising between senior business users, operations leads, and technologists…
Added 9 mins ago
VALUATION SPECIALIST
BDC
Montreal, QC
Full-time
Understanding of data governance, confidentiality, model limitations and responsible use of AI when working with sensitive financial and investment information.
Added 9 mins ago
Associate Director, Automation & Innovation
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
…portfolio management, decision support, capacity planning and governance. You will join a high-performing team that connects data, processes and technology to reveal new insights, reduce…
Added 22 mins ago
Interim Chief Information Security Officer
LHH Knightsbridge
Toronto, ON · Greater Toronto Area, Canada
Contract
…across the institution, the CISO will define the strategy, governance, policies and capabilities required to deepen and broaden information security, protect data and effectively manage…
Added 22 mins ago
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
Staff engineers at Intuit lead without authority. You will influence roadmap, unblock teams, mentor senior engineers, and represent HCM technical strategy to senior engineering and product…
Added 38 mins ago
Claims Operations Governance & Solution Specialist
Tokio Marine Canada Ltd.
Toronto, ON
Full-time
This role is well suited to an insurance professional who enjoys connecting claims operations, technology, data, governance, and process improvement. The successful candidate will be…
Added 1 hour ago
Manager, Journey Enablement, Assisted Onboarding
BMO
Toronto, ON · BMOPLACE
Full-time
…Enablement team within Business Banking. This role will be responsible for leading and delivering initiatives that enhance the assisted onboarding experience by streamlining origination,…
Added 2 hours ago
Manager, Strategic Customer Onboarding
Tipalti
Toronto, ON
$120,000 to $150,000 CAD / year
Full-time
As the Manager, Strategic Onboarding, you will lead a team responsible for Tipalti's most complex and strategically important customer implementations, including both internally delivered…
Added 2 hours ago
AI Solutions Architect
Jazz Aviation LP
Halifax, NS
Full-time
…solutions aligned with Jazz architecture, security, compliance, data governance requirements and ensures deployed AI solutions remain secure, reliable, compliant, supportable, and effective…
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Senior Product Owner, Investment Platform - Tangerine
Scotiabank
ON · Toronto, ON
The Senior Product Owner, Wealth Platform is responsible for translating Tangerine’s Digital Wealth product strategy into an executable roadmap of investment platform capabilities.…
Added 2 hours ago
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
Staff engineers at Intuit lead without authority. You will influence roadmap, unblock teams, mentor senior engineers, and represent HCM technical strategy to senior engineering and product…
Added 2 hours ago
Director of People & Culture
Equus
Courtice, ON
$60.1 CAD / hour
Full-time
The Director of People & Culture is a member of the Agilec Executive Leadership Team and is responsible for developing and executing human resources initiatives that support organizational…
Added 2 hours ago
Principal CRM Developer
Condominium Authority of Ontario
Toronto, ON
Full-time
Lead CRM projects from discovery through automated testing, deployment and hypercare, using Agile methods and keeping stakeholders informed at every stage.
Added 2 hours ago
Head of Global Commodity Engineering Mechatronics
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AB · BC · ON · Quebec, QC
This role is responsible for leading the global strategy, governance, and execution of Material Lifecycle Management for mechanical and mechatronic components across the entire supply…
Added 3 hours ago
Principal CRM Developer
Condominium Authority of Ontario
Toronto, ON
Full-time
Lead CRM projects from discovery through automated testing, deployment and hypercare, using Agile methods and keeping stakeholders informed at every stage.
Added 5 hours ago
Transition Manager -Digital Workplace Solutions
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Markham, ON
$92,000 to $140,990 CAD / year
The Transition Manager is responsible for leading the end-to-end transition of Digital Workplace Solutions (DWS) services from contract signature through operational handoff and…
Added 5 hours ago
Staff Software Developer
Intuit
Toronto, ON
Full-time
Staff engineers at Intuit lead without authority. You will influence roadmap, unblock teams, mentor senior engineers, and represent HCM technical strategy to senior engineering and product…
Added 5 hours ago
Staff Software Engineer (Pre-ID Relo)
Intuit
Toronto, ON
Full-time
Staff engineers at Intuit lead without authority. You will influence roadmap, unblock teams, mentor senior engineers, and represent HCM technical strategy to senior engineering and product…
Added 7 hours ago
Senior Director-Head of CNB Wealth Business Architecture
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Toronto, ON
Full-time
The role is responsible for leading the CNB Wealth Business Architecture organization, with approximately 30 professionals, and driving the product strategy, roadmap, prioritization, and…
Added 7 hours ago
Director, Head of Patient Recruitment and Retention
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Canada
Full-time
This is a senior leadership role within Global Clinical Operations, responsible for shaping and executing patient recruitment and retention strategies across clinical trials in the…
Added 8 hours ago
AI Architect
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Toronto, ON
Full-time
Implement Responsible AI principles and enterprise data governance
Added 10 hours ago
Quality Assurance - Vice President
iCapital
Toronto, ON · Greater Toronto Area, Canada
Full-time
…leader reporting directly to the Chief Technology Officer, responsible for shaping and executing (Hexure, now a part of iCapital's) company-wide quality vision and strategy. As a member of…
Added 12 hours ago
Sr. AI Solution Architect, Generative and Agentic AI
TD
Toronto, ON
Full-time
The AI Solution Architect, Generative and Agentic AI is responsible for defining and guiding the end-to-end architecture of enterprise AI solutions intended for internal use.
Added 15 hours ago
Manager - Health and Safety Risk and Assurance
Kinross Gold Corporation
Toronto, ON
Full-time
Mining responsibly is a priority for Kinross, and we foster a culture that makes responsible mining and operational success inseparable. Our values-based approach ensures that…
Added 17 hours ago
AI and Data - Data Architect - Healthcare
EY
Toronto, ON
Lead enterprise-level architecture for Health data platforms across ingestion, streaming, transformation, storage, APIs, and analytics consumption

Faire

Staff Data Infrastructure Engineer

Toronto, ON, Canada
Kitchener, ON, Canada

Pay: Canada: the pay range for this role is $216,000 to $297,000 per year.
Posting language: English
Posted: Oct 1, 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:

Our Engineering organization owns the software that makes our marketplace work. The Data Platform group supports everyone at Faire who depends on data: Product Engineering, Data Science, Machine Learning, Analytics, Strategy, Finance, and Product. Our job is to make sure the data is there, it's right, and people can find it and query it without having to think about the plumbing underneath.

We are hiring a Staff Engineer to own that plumbing. Concretely, this means the path data takes out of our production databases (CockroachDB and MySQL) and into a place where analysts and data scientists can query it. Today that involves Fivetran, Kafka, Spark, and Airflow landing data in Snowflake and Databricks. It works, but it grew up over time and it shows. We want someone who can design the next version of it, build the hard parts personally, and bring the rest of the company along.

This is a hands-on role. You'll also be the person other teams come to when they need to know how data should move at Faire.

What you'll do:

Set the technical direction for how data moves from production systems into our analytical stores, and own the roadmap to get there over the next couple of years.
Build the CDC and streaming ingestion layer: CockroachDB changefeeds and MySQL binlogs into Kafka, then into Iceberg tables on S3. You'll be responsible for the hard details like ordering, deduplication, late data, schema changes, and backfills.
Implement data contracts and quality checks throughout our platform
Put real ownership and SLAs on the datasets the business runs on, and wire quality checks into the platform with tools like Anomalo and Monte Carlo so we hear about broken data before a dashboard or a model does.
Run Airflow and Fivetran well, and have an opinion about what we should keep buying versus what we should build.
Own reliability for the platform: SLOs, on-call, incident reviews, and the follow-through so the same thing doesn't break twice.
Work with the senior engineers, data scientists, and analysts who depend on this platform, and lead the migration of existing pipelines onto the new one without breaking what they rely on.
Mentor the engineers around you. We want the team's data engineering practice to be better because you were here.

Qualifications:

You've built and run data infrastructure that other teams depended on, at meaningful scale, and you've been the person setting direction for it, not just working on it.

Deep experience with change data capture and streaming ingestion from operational databases through Kafka. You know what goes wrong with ordering, duplicates, snapshots, and schema evolution because you've dealt with it.
Hands-on experience with lakehouse architectures on an open table format. Iceberg on S3 is what we use, so that's especially valuable. You should be comfortable talking about partitioning, compaction, catalogs, and copy-on-write versus merge-on-read.
Strong Spark skills, and experience running Databricks and Snowflake against shared storage.
Experience with data quality and observability in practice, including data contracts, SLAs, and tools like Anomalo or Monte Carlo.
Experience operating Airflow at scale and working with managed ingestion like Fivetran.
Strong SQL, and good instincts for how to model data so analysts and data scientists can actually use it.
Solid Python plus at least one of Kotlin, Java, Scala, or Go. Experience shipping infrastructure on AWS with Terraform.
A working understanding of data governance: access control, PII, retention and deletion, lineage, and audit.
A track record of leading cross-team data initiatives and migrations, and of mentoring senior engineers.
You can explain a technical tradeoff to a leadership team and to a new grad, and you can get people who disagree with each other to a decision.
You take ownership of things that are broken or unowned, and you're willing to be on call for the systems you build.
Experience in a marketplace, e-commerce, or other transaction-heavy business is a plus.

Technologies we use and teach:

Python, Kotlin, SQL
Kafka, Fivetran, Airflow
S3, Apache Iceberg, Snowflake, Databricks, Apache Spark
AWS, Terraform, Kubernetes
CockroachDB, MySQL, Scylla and DynamoDB

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.

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)

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More about this job

Responsibilities

You will design and own the technical direction for data movement from production systems into analytical stores while building robust streaming ingestion layers. Additionally, you will be responsible for platform reliability, implementing data quality checks, and mentoring senior engineers to improve data engineering practices.

Requirements

Candidates must have deep experience building and running data infrastructure at scale, specifically with change data capture, streaming ingestion, and lakehouse architectures. Proficiency in Python, SQL, and at least one language like Kotlin, Java, Scala, or Go is required, along with a track record of leading cross-team data initiatives.

Skills

Data infrastructure
Change data capture
Streaming ingestion
Kafka
Apache Iceberg
Spark
Databricks
Snowflake
Airflow
Fivetran
SQL
Python
AWS
Terraform
Data modeling
Data governance

Benefits

Equity
Comprehensive benefits

Visa sponsorship

Not detected in the job text

Keywords

Data Infrastructure
Change Data Capture
Streaming Ingestion
Kafka
Apache Iceberg
Spark
Databricks
Snowflake
Airflow
Fivetran
SQL
Python
AWS
Terraform
Data Modeling
Data Governance
CockroachDB
MySQL
Scylla
DynamoDB
Kubernetes
Anomalo
Monte Carlo
Data Contracts
SLAs
Lakehouse Architecture
Schema Evolution
Backfills
PII
Data Lineage

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