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Added 23 mins ago
Senior Fiber Optic Technician
Meta Communications LLC
Field, BC
Full-time
Clear advancement paths from technician to senior engineer to project manager. We promote from within and provide mentorship programs to help you achieve your career goals.
Added 55 mins ago
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Full-time
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Design and operate our ML platform layer - feature store, reproducible training pipelines, and cloud training job submission - so retraining is cheap and routine rather than a project.
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Senior AI Forward Deployment Engineer
Norton Rose Fulbright
Toronto, ON
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We are seeking a Senior AI Forward Deployment Engineer to join the Artificial Intelligence team within Norton Rose Fulbright Canada. This role will design, build, deploy, and optimize…
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The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 7 hours ago
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Added 7 hours ago
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Veolia | North America
Oakville, ON
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Added 8 hours ago
Physical Design Engineer
Advanced Micro Devices, Inc
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Full-time
…experiences - from AI and data centers, to PCs, gaming and embedded systems. Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human…
Added 9 hours ago
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B2Gold - Nunavut
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B2Gold is a responsible international senior gold producer headquartered in Vancouver, Canada. Founded in 2007, today, B2Gold has operating gold mines in Canada, Mali, Namibia and the…
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Senior Systems Integration Engineer
ADGA Group
Ottawa, ON
$135,000 to $150,000 CAD / year
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D-Wave is seeking a highly experienced Senior Production Engineer with a strong technical background in cryogenic engineering, manufacturing process development, and production operations.…
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As a Senior Field Service Technician, you will be responsible for delivering high-quality technical support and service to our customers.
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AECOM
Windsor, ON
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Work closely with the Project Engineer and Project Manager, to ensure construction is in compliance with project specifications
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Cloud Security Architect
Affinity
Vancouver, BC
Contract
On behalf of our public-sector client, Affinity is seeking a Cloud Security Architect to provide senior cloud security architecture, governance and advisory expertise in support of a cloud…
Added 11 hours ago
Senior Electronics Hardware Designer
Schneider Electric
Richmond, BC
$114,750 to $162,000 CAD / year
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…storage, EV charging, and grid-interactive power conversion…
Added 12 hours ago
Senior Field Engineer
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Campbell River, BC
Full-time
This position may be filled as a Senior Engineer with 8 or more years of relevant engineering experience, or as an Intermediate Engineer with 4 or more years of relevant engineering…
Added 12 hours ago
Substation Design Engineer
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Spark Power, a trusted partner in energy in North America, is looking for a Senior Substation Design Engineer to join our Alberta team. Spark Power provides a wide range of services to…
Added 12 hours ago
Senior Project Manager
National Research Council Canada
Ottawa, ON
…development and innovation activities. This is not a traditional project management role. Individual projects are led by researcher and engineer Project Managers from across the NRC; the…

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

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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.

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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

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