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Added 3 mins ago
T
Quality Engineer I
TD
Toronto, ON
- Full-time
…achieved by creating a multi-product shipping experience that will lead to Customers fulfilling more needs digitally such as Cred cards, loans, and…
Added 30 mins ago
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Electrical Engineer / System Integrator
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- Full-time
Reporting to a Discipline Lead, Engineers / System Integrators participate in the design, development, implementation and documentation of marine systems and solutions. This role is…
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Associate Portfolio Manager, Credit Investing
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Toronto, ON
- Full-time
…entrepreneur Som Seif, the company is developing a diversified product platform aimed at addressing historically underserved segments of the market. Purpose Unlimited’s businesses include…
Added 46 mins ago
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Salesforce AI & Data Cloud Solutions Engineer
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Toronto, ON
- Full-time
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Added 48 mins ago
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Data Engineering Manager
Relay
Remote, Canada
- $207,000 to $253,000 CAD / year
- Full-time
- Remote
…pipelines and dashboards that teams use to run the company. Data Platform, the team you'll lead, owns the foundation underneath: infrastructure, cost, real-time data, observability, and the…
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Senior Data Engineer
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- $90,000 to $120,000 CAD / year
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Added 1 hour ago
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Added 1 hour ago
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Electrical Engineer
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Added 1 hour ago
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Application Security Engineer II
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Added 1 hour ago
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Sr. Principal Software Engineer
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- Full-time
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Added 1 hour ago
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Added 1 hour ago
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Staff Cloud Security Engineer (Global Security)
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Added 1 hour ago
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Added 2 hours ago
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Toronto, ON
- Full-time
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Added 3 hours ago
M(
Director of Platform Engineering
MaintainX (An Autodesk Company)
Remote, Canada
- $173,000 to $254,000 CAD / year
- Full-time
- Remote
We're looking for an Engineering Director to lead MaintainX's Platform division. Platform owns the seven foundational teams every product engineer builds on: AI Builder, DevOps, Compliance,…

Relay

Data Engineering Manager

Remote, Canada

Remote

$207,000 to $253,000 CAD / year · Full-time

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Job details

Pay: $207,000 to $253,000 CAD / year
Job type: Full-time
Workplace: Remote
Posting language: English
Posted: Oct 8, 2026

Original job description

Relay is a digital banking platform that gives self-made business owners the tools and know-how to be great with money - bringing clarity, confidence, and control to every dollar earned, so they can turn hard work into lasting success. We do this by replacing financial guesswork with real visibility, transforming cash flow from a constant source of stress into a clear signal owners can use to run stronger, more resilient businesses.

Relay's data engineering team has tripled in size, from 4 to 12, and is now splitting into two teams. Analytics Data Engineering works close to the business, building the models, pipelines and dashboards that teams use to run the company. Data Platform, the team you'll lead, owns the foundation underneath: infrastructure, cost, real-time data, observability, and the AI capabilities the rest of Relay builds on.

The team's north star is platform health. That means a fast, reliable, cost-efficient platform with strong observability, and partners across the company who can do their work without waiting on us.

What You'll Be Doing

Lead and grow a senior team of data engineers. With an experienced team in place, your role is to provide direction, challenge thinking, and help the team make decisions and move work forward.
Own Snowflake cost. In your first 90 days, you’ll develop and execute a plan to reduce Snowflake costs month over month, working closely with the team to identify and deliver savings.
Get data into stakeholders' hands faster. You'll define and drive Relay's approach to real-time data and platform enablement, including streaming (Kafka) and a Snowflake MCP server that opens our data to AI tooling.
Make platform health visible. Build observability so the team finds a problem before a stakeholder does.
Translate platform work into business outcomes. You’ll help the team prioritize upgrades, migrations and refactors by linking technical investments to business value, whether that’s driving revenue, improving efficiency or reducing risk.
Balance speed against technical debt, in both directions. Sometimes you'll persuade the team to ship with some debt because the business value is there. Sometimes you'll persuade the business to give the team more time. You'll know which is which.
Run the team's operating rhythm. That includes standups, sprint and roadmap planning, architectural decisions, code review, and the requests that come in from across Relay.

Who You Are

You have at least two years of experience managing engineers, including senior team members with strong technical perspectives and the expertise to back them up.
You have deep, hands-on production experience with Snowflake and dbt, including building data models.
You've owned a production data platform, and ideally you've led meaningful improvements to one, such as cutting cost, improving reliability or adding new capability.
You challenge decisions with curiosity, not authority. You ask why before you ask how long, and you can find a path that serves both the engineer's concern and the business deadline.
You lead with context. You explain the problem, the metric and the business case before the architecture.
You're highly fluent with AI tools, both in how you work and in how you'd guide a team building AI-enabled data capabilities.

Bonus Points

Experience with:

AWS or GCP
Dagster or another data orchestrator
Fivetran and Hightouch
Terraform
Kafka or other real-time data infrastructure

The Interview Process

Stage 1: A 45-minute Google Meet video call with a member of our Talent team
Stage 2: A 60-minute Google Meet video call with the Hiring Manager
Stage 3: A take-home case study followed by a 60-minute Google Meet video call with our Engineering team
Stage 4: A 45-minute Google Meet video call with a member of our leadership team

Our Compensation Approach

We believe Relayers should feel rewarded for the impact they have on our mission and growth. Compensation follows impact. As impact increases, compensation grows, and we do not limit compensation changes to a once-a-year review cycle.

The annual salary range for this role is 207,000 CAD to 253,000 CAD.

For candidates who demonstrate full readiness for the defined scope of the role, the typical starting salary is 230,000CAD. Offers below this point reflect candidates we believe can grow into the full scope of the role with support and development. Offers above this point reflect impact that meaningfully exceeds the role’s defined expectations or an expanded scope from day one.

We encourage you to have a conversation with your recruiter and ask questions about compensation throughout the hiring process. For more information on our compensation philosophy and perks and benefits, visit our Candidate Hub.

Why Relay Might Be the Perfect Fit For You

You push relentlessly for reinvention: You're always asking "how can this be better?" -- in your work, in your craft, in yourself. Comfort is a signal to push harder, not coast. You'd rather build something better than defend something familiar.
You crave autonomy: We trust our team with big challenges and the freedom to solve them. If you’re someone who takes initiative, is comfortable taking risks, and seeks input when needed, you’ll find the freedom here empowering.
You own your work: You take pride in your work, follow through on commitments, and feel a deep sense of responsibility for outcomes, not just tasks.
You build with AI, not just use it: You're actively embedding AI into how you work, pushing what's possible, and bringing your team along with you.
You care about impact, not noise: You care deeply about the substance of your work. You measure success by results, not recognition, and you let your work speak for itself.
You’re energized by complexity and ambiguity: You enjoy tackling problems that don’t come with a playbook. You’re comfortable building from scratch, iterating as you go, and collaborating to shape the best path forward.
You seek out feedback: You see directness as respect, not criticism. You actively seek input, sit with hard truths, and use feedback as fuel for improvement.
Small businesses are why we're here: Relay exists to help them thrive -- and that mission has to resonate with you.

Join Us

We're looking for people who are relentless, curious, and care deeply about the work. You're encouraged to apply even if your experience doesn't perfectly match the job description -- your perspective and drive matter more. We welcome diverse backgrounds and people who think critically, challenge the status quo, and want to help small businesses thrive.

If you require accommodations at any stage of the hiring process, please reach out to your Talent Partner.

Disclaimer: For compliance reasons, all offers of employment at Relay are conditional upon a successful background check and employment verification through Certn.

Important Notice: Relay’s recruitment team only contacts candidates and corresponds from official corporate email addresses ending in @relayfi.com. We will never ask for sensitive personal data (such as bank account details, credit card numbers, or social security/insurance numbers) during the initial application or interview stages.

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More about this job

Responsibilities

Lead and grow a senior team of data engineers while owning the data platform's infrastructure, cost, and observability. Drive the implementation of real-time data capabilities and AI-enabled tooling to support business outcomes.

Requirements

Requires at least two years of experience managing engineers and deep hands-on production experience with Snowflake and dbt. Candidates should demonstrate strong leadership skills, technical expertise in data platforms, and the ability to balance technical debt with business value.

Skills

Data Engineering
Snowflake
Dbt
Team Leadership
Cloud Infrastructure
Kafka
Data Modeling
Observability
Real-time Data
AI Capabilities
Cost Optimization
Platform Engineering
Stakeholder Management
Strategic Planning
Mentorship

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Snowflake
Dbt
Kafka
AWS
GCP
Dagster
Fivetran
Hightouch
Terraform
Data Platform
Real-time Data
Observability
AI
Cloud Infrastructure
Data Modeling
Cost Management
Engineering Management
Sprint Planning
Technical Debt
Business Intelligence
Data Pipelines
Dashboards
Streaming
Platform Health

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