Find work in Canada.

331,066 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 24 mins ago
Analyst, Engineering Services - Project Engineer
Aspire Bakeries
Hamilton, ON · Ancaster, ON
…our people and our customers to be the best all-around bakery solution. If you’re ready to grow with us, we’d love to hear from…
Added 39 mins ago
Solutions Engineer
Diligent Corporation
Vancouver, BC
As a Solutions Engineer at Diligent, you will partner closely with Sales to help organizations understand how our platform can transform the way they identify and mitigate risk, perform…
Added 53 mins ago
Senior Data Solutions Engineer
HOOPP (Healthcare of Ontario Pension Plan)
Toronto, ON
$103,000 to $153,000 CAD / year
Full-time
…financial future for the healthcare community. As a Senior Data Solution Engineer, you will help keep HOOPP's investment data ecosystem reliable, governed, and ready to evolve toward a…
Added 1 hour ago
Principal Process Automation Engineer
Worley
Pickering, ON
Full-time
Added 1 hour ago
Maintenance Manager
Canadian Linen / Quebec Linge
Regina, SK
Full-time
…and national clients to create and maintain a total uniform solution that promotes teamwork and establishes a professional…
Added 1 hour ago
METS Principal Information Security Engineer - ITS5
Minnesota Direct Care and Treatment
Saint-Paul, NB · St.-Paul, NB
Full-time
Working Title: METS Principal Information Security Engineer
Added 1 hour ago
Senior Staff Data Platform Engineer
Benevity
Remote, Canada
$137,800 to $178,080 CAD / year
Full-time · Remote
Benevity is seeking a talented Senior Staff Data Platform Engineer, who has an extensive record of hands-on data engineering and data product development experience. This role, reporting to…
Added 1 hour ago
Senior Staff Data Platform Engineer
Benevity
Remote, Canada
Full-time · Remote
Benevity is seeking a talented Senior Staff Data Platform Engineer, who has an extensive record of hands-on data engineering and data product development experience. This role, reporting to…
Added 1 hour ago
[New Grad] Applied AI Engineer
Ranger AI
Canada
Full-time
This is a remote/hybrid role for an Applied AI Engineer at Ranger AI.
Added 1 hour ago
Data Engineer (Data Modeling/Data Governance)
Scotiabank
Toronto, ON
We are looking for an experienced Data Engineer to design, develop, and support scalable enterprise data solutions within a financial services environment.
Added 2 hours ago
Software Engineer III
TD
Toronto, ON
Full-time
…for the technical design and delivery of a specific technical solution based on requirements from…
Added 2 hours ago
Staff Software Engineer - Full-Stack, Solution Architecture
Blazesoft
Concord, ON
Full-time
Added 2 hours ago
Lead DevOps Engineer
RBC
Toronto, ON
Full-time
…streamlining the software delivery lifecycle? As a Lead DevOps Engineer, you will play a critical role in bridging the gap between development and operations, ensuring that our applications…
Added 3 hours ago
Site Reliability Engineer / Release Management & Automation Specialist
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
Full-time
We are looking for a highly motivated, experienced and self-driven technical resource to serve as a Site Reliability Engineer / Release Management & Automation Specialist. This role…
Added 3 hours ago
Senior Presales Engineer
ChapsVision
Montreal, QC
Full-time
Nous recherchons un(e) Ingénieur(e) avant-vente (PreSales Engineer) afin de soutenir la croissance d’ArgonOS en Amérique du Nord.
Added 3 hours ago
Embedded Software Engineer
ORBCOMM
Ottawa, ON
$85,000 to $95,000 CAD / year
Full-time
…With over 30 years of experience and the most comprehensive solution portfolio in the industry, we enable the management of millions of assets worldwide across diverse sectors, including…
Added 4 hours ago
Manufacturing and Design Engineer
EM Dynamics
Toronto, ON · Scarborough, ON
Full-time
We are a proudly Canadian owned and operated manufacturing solution facility. For over 50 years, we have taken pride in our commitment to supporting our clients and their products. Our vast…
Added 4 hours ago
Software Engineer II
TD
Toronto, ON
Full-time
…Readiness Reviews, and supporting gating and review sign-offs for solution…
Added 4 hours ago
Sr SAP SuccessFactors Engineer
InfiCare Staffing
Toronto, ON · Greater Toronto Area, Canada
Contract
…experience in SAP SuccessFactors implementation, integration, and solution architecture. The ideal candidate should possess strong functional and technical expertise across SuccessFactors…
Added 4 hours ago
Manufacturing Engineer – Quoting Specialist
EM Dynamics
Toronto, ON · Scarborough, ON
$38 to $43 CAD / hour
Full-time
We are a proudly Canadian owned and operated manufacturing solution facility. For over 50 years, we have taken pride in our commitment to supporting our clients and their products. Our vast…
Added 4 hours ago
Technology - Brokerage Engineering - Principal Software Engineer
Questrade Financial Group
Toronto, ON
We’re looking for our next Principal Software Engineer. Could It Be You?
Added 5 hours ago
Software Dev Engineer II, 3P AV Measurement
Amazon
Toronto, ON
Full-time
As a Software Development Engineer II on the team, you will be responsible for the design, implementation, testing, and deployment of data-intensive analytical solution that will help steer…
Added 7 hours ago
Observability Specialist
Wave Mobile Money
Canada
Full-time
As an Observability Engineer at Wave, you will help engineers understand, operate, debug, and improve the systems that power payments for millions of users across Africa.
Added 11 hours ago
Manager, Software Engineering
AltaML
Toronto, ON
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't.
Added 11 hours ago
Senior Software Engineer
AltaML
Toronto, ON
$130,000 to $150,000 CAD / year
Full-time
We overpay for the right people. We'd rather pay a premium for an engineer who embodies this and multiplies the team than save money on someone who doesn't

Benevity

Senior Staff Data Platform Engineer

Remote, Canada

Job type: Full-time
Workplace: Remote
Experience: 8+ years of scalable development experience, with lead and software design accountabilities, including substantial time building data platforms and pipelines.
Posting language: English
Posted: Sep 25, 2026

Apply About employer

Applications open in a new tab.

Original job description

Meet Benevity

Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!

Benevity is seeking a talented Senior Staff Data Platform Engineer, who has an extensive record of hands-on data engineering and data product development experience. This role, reporting to the Director of Engineering, plays a crucial part in shaping and executing on the technical strategy across our data platform, and in building it hands-on alongside the team, raising both velocity and quality as we go.

Position Overview:

The Senior Staff Data Platform Engineer will be the technical anchor for our data platform, and will lead the design of our data democratization strategy. You will bridge the gap between architectural vision and production-grade engineering, working hands-on alongside the team. This role requires a deep understanding of designing scalable, governed systems that power our ingestion pipelines, medallion lakehouse, semantic layer and the data products serving reporting, ensuring our platform delivers measurable value to the domain teams that build on it. The ideal candidate will have a strong technical background combined with the design leadership to take teams from vision to execution.

What You’ll Do:

Hands-on technical leadership across the full data path
Design and build the platform capabilities that let domain engineering teams take data from source to reporting themselves, landing new sources and schema changes into the streaming consumption pipeline, promoting them through the medallion layers, and defining the data products that reporting consumes.
Work hands-on across the whole path: streaming and batch pipelines, transformation models, the lakehouse and catalog layer, and the semantic layer that defines the data products consumers depend on.
Lead the design and delivery of our medallion architecture on an AWS lakehouse, object storage with open table formats (S3, Apache Iceberg), cataloging and fine-grained governance (AWS Glue, Lake Formation), and transformation frameworks (dbt), while continuing to operate and evolve our current warehouse environments and planning a credible path between the two.
Make pipelines configuration and metadata driven, so that adding an attribute, a table or a new data product is a declarative change a domain developer can make safely, rather than bespoke code only our team can write.
Ensure every pipeline, dataset and data product is registered, documented and discoverable in our metadata platform (DataHub), with schema, lineage and ownership propagated automatically rather than maintained by hand.
Design the data product and semantic layer contracts that reporting depends on, versioned, tested, with explicit ownership, quality expectations and deprecation paths.
Make AI a natural extension of your engineering practice, using tools like Cursor in spec-driven, agentic workflows, and build the internal, AI-assisted developer tooling that helps domain teams scaffold pipeline configuration, models, contracts, tests and documentation from a specification, with quality and governance enforced automatically in CI rather than through review queues.
Work with Principal Architects to lead the technical direction of our organizational strategy through implementing robust, extendable, and reusable architecture patterns.
Collaborate with product managers, staff developers, and other stakeholders to translate business requirements into technical specifications and data product designs.
Ensure security best practice across the technology stack using cloud native solution design.
Create and maintain technical documentation, architecture decisions and implementation processes, and ideate and deliver Proof of Concepts to advance our technical and product direction.
Provide mentorship and guidance to other developers on the team, encouraging continuous learning and professional development, fostering a collaborative and inclusive team environment.
Actively participate in architectural reviews to ensure quality, consistency and adherence to the north star architecture.

What You’ll Bring:

Degree in Computer Science, Computer Engineering or equivalent professional experience
8+ years of scalable development experience, with lead and software design accountabilities, including substantial time building data platforms and pipelines.
2+ years in a technical leadership role on building scalable platforms, technology transformation and modernization initiatives.
Excellent communication skills, balancing product and technical needs to deliver the best outcomes.
Solid software design fundamentals
Experience with domain driven design, loosely coupled systems, and event-driven, decoupled services
A track record of building reusable abstractions and frameworks that other engineers can build on, with the judgement to know when not to over-engineer, and comfort working through ambiguous, abstract problems
Comfort with abstract problem-solving and ambiguous challenges
Deep, hands-on data engineering experience across streaming and batch
Stream processing and event streaming platforms (Debezium, Kafka, Flink), including schema evolution and delivery-guarantee trade-offs
Lakehouse and medallion architecture on open table formats (S3, Apache Iceberg, AWS Glue, Lake Formation), plus a transformation practice with dbt
Warehouse engines at scale and declarative, asset-based orchestration (e.g. Airflow)
Experience making data discoverable, governed and trustworthy as a platform capability
Metadata, catalog and lineage platforms (DataHub, or equivalents) and metadata-as-code approaches
Data contracts and schema governance enforced automatically in CI and at runtime, not by documentation and review meetings
Data quality, observability and service levels for pipelines and data products
Experience with data products and the semantic layer
Designing and modelling a semantic layer as a governed, reusable product (Looker/LookML; familiarity with headless semantic layers such as the dbt Semantic Layer or Cube is an asset)
Defining data products with identified consumers, contracts, versioning and deprecation paths
Enough exposure to analytics and reporting delivery to understand how consumers actually use what you serve them
Cloud, delivery and AI-led engineering practice
Extensive experience with cloud-native infrastructure in AWS; working familiarity with GCP (BigQuery, Looker); Azure is a plus
Proficiency in agile, Infrastructure-as-Code, DevSecOps and automated testing, with CI/CD experience (e.g. GitHub Actions, Jenkins)
Experience with AI-led, spec-driven and agentic development workflows (e.g. Cursor), and building internal developer tooling that other engineers rely on
Proven track record of building performant, scalable and cost effective products
Commitment to continuous improvement in code, processes, and team development

Great-to-haves:

Certification in relevant cloud platforms or technologies.

Discover your purpose at work

We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more …

Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose.

If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become …

It’s time to join Benevity. We’re so excited to meet you.

Where We Work

At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most.

Join a company where DEIB isn’t a buzzword

Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily - from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams.

We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine.

That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity.

Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.

Apply About employer

More about this job

Responsibilities

The Senior Staff Data Platform Engineer will lead the design and execution of the technical strategy for the data platform while working hands-on to build scalable, governed systems. This role involves bridging the gap between architectural vision and production-grade engineering to empower domain teams to manage their own data pipelines.

Requirements

Candidates must have 8+ years of scalable development experience with a strong background in data engineering and platform modernization. A degree in Computer Science or equivalent professional experience is required, along with deep expertise in AWS, streaming technologies, and medallion architecture.

Skills

Data engineering
Data platform architecture
AWS
Apache Iceberg
dbt
Data governance
Streaming pipelines
Data modeling
Metadata management
DataHub
Software design
Technical leadership
Cloud-native infrastructure
CI/CD
Infrastructure-as-Code
AI-assisted development

Benefits

Flexible hybrid work environment
Employee resource groups
Professional development opportunities
Inclusive culture

Visa sponsorship

Not detected in the job text

Keywords

Data Platform
Data Engineering
AWS
S3
Apache Iceberg
AWS Glue
Lake Formation
dbt
DataHub
Kafka
Flink
Debezium
Airflow
Semantic Layer
Looker
LookML
Cloud-native
DevSecOps
CI/CD
GitHub Actions
Cursor
Agentic workflows
Data democratization
Medallion architecture
Domain-driven design
Event-driven architecture
Metadata-as-code
Data contracts
Scalable systems
Technical leadership

Report this job