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Added 25 mins ago
AI
Senior CDN & Edge Reliability Engineer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Toronto, ON
- Full-time
Participate in the shared on-call rotation as the platform’s subject-matter escalation, and lead incident management for customer-facing events.
Added 25 mins ago
F
Technical Consultant (Data & AI)
Fastloop
Vancouver, BC
- Full-time
You aren’t just a “Data Engineer” or a “Software Engineer”; you are the “connective tissue” of modern intelligence. You will be responsible for the programmatic development of Agentic…
Added 26 mins ago
H
AI Solutions Architect
Hays
Toronto, ON
- Contract
The role primarily designs AI and agentic solutions on Microsoft Azure, with exposure to Google Cloud Platform where required.
Added 26 mins ago
JG
GCP Data Engineer
J&M Group
Canada
- Contract
We are seeking a GCP Data Engineer with hands-on experience with Google Cloud Platform (GCP) services, particularly BigQuery, and be experienced in DBT for data transformation and modeling.…
Added 26 mins ago
VC
Adobe Experience Manager (AEM), SRE - CDN and Edge Delivery
VK CONSULTING SERVICES
Canada
- Full-time
We are seeking a hands-on Senior Site Reliability Engineer (SRE) with experience supporting Adobe Experience Manager (AEM), particularly Edge Delivery Services and Assets as a Cloud…
Added 26 mins ago
AI
GCP Data Engineer
Aptino, Inc.
Canada
- Contract
We are looking for an experienced GCP Data Engineer with strong hands-on experience in Google Cloud Platform, BigQuery, SQL, and data warehousing. Experience with dbt, Python, and…
Added 26 mins ago
SS
Adobe Site Reliability Engineer (SRE) – CDN & Web Performance
Staffmax Staffing & Recruiting
Toronto, ON · Greater Toronto Area, Canada
- Full-time
We are seeking a highly skilled and proactive Adobe Site Reliability Engineer (SRE) specializing in CDN and Web Performance to join our client's dynamic team.
Added 26 mins ago
A
Forward Deployed Engineer – AI, Data Engineering & MLOps / Toronto, ON (Onsite) - FTE
AceStack
Toronto, ON
- Full-time
Cloud & Platform Engineering: Experience with cloud data platforms, Docker, Kubernetes, Airflow, Git, distributed computing, and infrastructure automation.
Added 28 mins ago
Staff Software Engineer
Lantern
Vancouver, BC
Lantern is seeking a Staff Software Engineer to join our expanding product engineering pods. This is a strategic and highly visible role focused on driving your team’s architectural…
Added 28 mins ago
F/
Technical Analyst (Quicksight, SQL and Redshift)
FCC / FAC
Regina, SK · FCC Tower
- Full-time
AWS certifications (e.g., Cloud Practitioner, Data Engineer or Solutions Architect)
Added 41 mins ago
H
Data Quality Engineer
Hays
Toronto, ON
- Contract
As a Senior Quality Engineer, you will be responsible for defining and implementing quality assurance processes, developing automated tests, identifying and mitigating risks, and ensuring…
Added 41 mins ago
3T
Site Reliability Engineer
360 Technology
Toronto, ON
- Full-time
…and edge logs rather than a traditional server logs. On this platform, page performance is not a quality attribute; it is the product. You will treat it as a service level objective with…
Added 41 mins ago
L
Staff Software Engineer
Lantern
Vancouver, BC
- Full-time
Lantern is seeking a Staff Software Engineer to join our expanding product engineering pods. This is a strategic and highly visible role focused on driving your team’s architectural…
Added 1 hour ago
RE
Applied AI Engineer
Randstad Enterprise
Montreal, QC
- Contract
The Applied AI Engineer will work with business and technology teams to develop and implement Generative AI solutions. This is a hands-on engineering role focused on building prototypes,…
Added 1 hour ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $120,000 CAD / year
- Full-time
Good years of experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering.
Added 1 hour ago
TC
Forward deployed Engineer
Tata Consultancy Services
Toronto, ON
- $100,000 to $120,000 CAD / year
- Full-time
Demonstrated experience in Data Engineering, AI Application Development, Cloud Data Platforms, and Production-grade Software Engineering, with a proven track record of delivering…
Added 1 hour ago
J
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
- Full-time
Jobright is your personal AI job search agent that transforms the way you do job search. They are seeking a Cloud Engineer to provision and manage cloud infrastructure, build CI/CD…
Added 1 hour ago
DevOps & Cloud Platform Intern (December 2026 to April 2027)
ProCogia
Vancouver, BC
ProCogia is looking for a DevOps & Cloud Platform Intern to join our Winter 2027 internship cohort. This role is designed primarily for final-year Bachelor’s and Master’s students who want…
Added 1 hour ago
TS
Software Developer / Analyst
Tangam Systems
Waterloo, ON
- Full-time
Added 1 hour ago
VS
Product Verification and Validation Engineer
VIAVI Solutions
Ottawa, ON
- Full-time
We are looking for a highly versatile and self-driven Verification & Validation (VnV) Engineer to join our Test Engineering Group / Verification & Validation. This role covers a broad scope…
Added 1 hour ago
EM
Consultant - PySpark / Databricks Developer (Intermediate - Senior)
Electric Mind
Toronto, ON
- Full-time
…Databricks for a financial services / wealth management data platform. The platform ingests data from multiple source systems, transforms it through a medallion architecture (bronze →…
Added 1 hour ago
P
Marketing Data Analytics Engineer (CA)
PointClickCare
Mississauga, ON
- Full-time
With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in…
Added 2 hours ago
KG
Senior Java Low Latency Developer (Payments & Trading Platforms)
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
…Access (DMA) platforms. This role is ideal for a highly skilled engineer with a strong background in low-latency trading systems, financial markets technology, and modern Java…
Added 2 hours ago
LC
Senior Engineer, Application Security
Lightspeed Commerce, Inc.
Remote, Canada
- Full-time
- Remote
As a Senior Application Security Engineer, you will serve as a foundational anchor on the AppSec team, leading our strategic shift hard-left toward developer-embedded security and Secure by…
Added 2 hours ago
I
QA Automation Engineer - ETL/Database
Infoya
Toronto, ON
- $100,000 to $115,000 CAD / year
- Full-time
About the Job: Infoya is looking for an experienced Senior Automation Engineer with strong expertise in test automation , database testing, ETL validation, and data pipeline testing. The…

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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