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Added 1 month ago
Principal Software Developer - FinOps
Zynga
Toronto, ON
Demonstrated proficiency with Python for data cleaning and data wrangling (pandas, NumPy), and ability to work with source code via pull requests, CICD pipelines, etc
Added 3 months ago
CC
Hardware Sustaining, Lead - Onsite Position
Curtiss-Wright Corporation
Ottawa, Ontario · Canada-Ottawa
- Full-time
As our Hardware Sustaining, Lead, you will provide Engineering support for all aspects of production from supporting the Debug and Repair facility to addressing issues with Manufacturing…
Added 6 months ago
W
Software Engineer, Labelling, Data & Automation
Waabi
Toronto, ON
- $127,000 to $225,000 USD / year
- Full-time
- Proficient in Python programming and strong software engineering fundamentals with real-world experience writing high quality, well-structured, and well-tested code.
Added 6 months ago
Senior Applied Scientist, Measurement, Ad Tech, and Data Science (MADS)
Amazon
Toronto, Ontario
…measurement insights to our customers. You will partner with engineering to deploy these solutions into production. You will work with key stakeholders from various business teams to enable…
Added 4 months ago
IF
Senior Full stack AI Developer (Python & Angular/React)
Intact FC
Montreal, Quebec
- Full-time
We’re looking for a Senior Full stack AI Developer (Python & Angular/React) to join our growing team!
Added 6 months ago
Senior Data Engineer
Redlen Technologies Inc.
Central Saanich, British Columbia · Saanichton, BC
Strong proficiency in Python for data engineering and automation.
Added 6 months ago
T
Machine Learning Engineer
TD
Remote, Canada
- Full-time
- Remote
…to be at the cutting edge of machine learning in research, engineering, and impactful…
Added 6 months ago
S
Senior AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
ShyftLabs is looking for a Senior AI Engineer to sit at the intersection of AI/ML engineering and backend platform development. This isn't a research role, it's a hands-on engineering…
Added 2 months ago
C
Bioinformatics Manager
Calliere
Remote, Canada
- Full-time
- Remote
We’re a tight-knit crew of builders - spanning science, engineering, design, and product - working on problems where biology meets modern software. Think large-scale genomic data,…
Added 6 months ago
WA
Insurance Underwriting AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
As an Underwriting AI Expert, you will play a critical role in modernizing underwriting workflows by embedding data-driven insights into core processes such as risk assessment, pricing, and…
Added 6 months ago
WA
Capital allocation AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
Bachelor’s or Master’s degree in Finance, Economics, Engineering, Data Science, or a related field.
Added 6 months ago
QC
Junior Quantum Engineer
Q-Block Computing
Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
Proficiency in data analysis and scientific computing; Python, MATLAB, or equivalent experience.
Added 5 months ago
S
Engineer, Digital Design Verification
Semtech
Ottawa, Ontario · CAN - Ottawa, ON
- Full-time
Semtech’s Signal Integrity Product Business Unit delivers high performance Signal Integrity IC’s for data communications and video broadcast industries. This role offers a rare opportunity…
Added 6 months ago
FC
Senior Technical Analyst, Data Engineering and Business Intelligence
Fidelity Canada
Toronto, Ontario
- Full-time
As a Senior Technical Analyst, Data Engineering and Business Intelligence, at Fidelity Investments Canada, you will focus on building, automating and scaling internal data pipelines and…
Added 6 months ago
H
Senior Electrical Design Engineer
Humanoid
Burnaby, BC
- Full-time
…analyzers, to validate designs and solve complex electrical engineering…
Added 2 months ago
PC
Credit Risk Modelling Senior Associate
Pwc Canada
Toronto, ON
- Full-time
Master’s degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering, Data Science or other relevant fields
Added 6 months ago
P
Credit Risk Modelling Senior Associate
PwC
Toronto, Ontario
- Full-time
Master’s degree in Statistics, Mathematics, Physics, Engineering, Financial Engineering, Data Science or other relevant fields
Added 6 months ago
Q
Staff AI Software Engineer (C++)
Qualcomm
Markham, ON
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 5 months ago
Architect
Benevity
Calgary, Alberta
4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
Added 5 months ago
Architect
Benevity
Toronto, Ontario
4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
Added 6 months ago
UM
Senior Backend Engineer
US Mobile
Toronto, Ontario
- Full-time
Develop and maintain RESTful APIs using Java (Spring Boot or related web frameworks) or Python (Flask, Django)
Added 6 months ago
Principal Architect, Software Engineering
Credera Experienced Hiring Job Board
Quinte West, Ontario
You shape Credera's practice direction on AI in software engineering, setting the bar for how our teams build agentic systems and AI-augmented applications that hold up in production, and…
Added 7 months ago
Q
AI Performance Engineer (Cloud AI Engineering), Sr | Staff | Sr. Staff
Qualcomm
Markham, Ontario
- Full-time
Engineering Group, Engineering Group > Machine Learning Engineering
Added 3 months ago
LT
DevOps Team Lead
LMI Technologies
Burnaby, BC
- $108,000 to $135,000 CAD / year
- Full-time
Added 1 month ago
OT
Principal AI Developer
Open Text Corporation
Mississauga, ON · Richmond Hill, ON · Waterloo, ON
- Other
AI Agent Developing: Design and implement complex AI agents (primarily Python) integrated with enterprise systems, APIs, and data platforms.

Benevity

Architect

Calgary, AB, Canada

Apply About employer

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Job details

Posting language: English
Posted: May 13, 2026

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!

As a senior technology leader, you will help build our technology platform to enable 10 million change-makers to deliver a billion acts of goodness by 2025. We seek a platform-first Architect to lead enterprise patterns for reliable, governed, AI-driven, and cost-effective solutions at scale across our technology portfolio. You will design how data flows across the company, from ingestion to consumption, while ensuring our AI systems are secure, auditable, and maintainable. This role requires practical systems thinking and the ability to influence senior engineers and leadership toward consistent, enterprise-wide architecture outcomes that align our data and AI strategy with broader business goals.

If you're passionate about leveraging modern technology, data and AI for positive impact and eager to contribute to a mission-driven organization, we want to hear from you.

What you will do:

Develop and maintain end-to-end tracks with our data and AI focus technology strategy and architectural portfolio
Mentor engineers and technical leadership by providing clear patterns, ensuring adherence to architectural patterns, and offering hands-on guidance for complex implementations
Lead architecture decisioning through Architecture Decision Records (ADRs), standards, and design reviews
Oversee architectural reviews, code reviews, and system performance analysis to ensure quality standards and sustainable delivery momentum
Foster a culture of collaboration, knowledge sharing, and continuous learning through mentorship, team collaboration, and workshops
Enable governed data consumption through clear data contracts, curated datasets, and consistent serving patterns including domain marts
Standardize end-to-end data flow patterns including ingestion, transformation, storage, serving, and retirement with repeatable templates
Set platform standards for orchestration and reliability including SLAs, retries, idempotency, backfills, runbooks, and operational dashboards
Establish enterprise data quality practices including critical data elements, quality rules, validation layers, monitoring, and issue triage workflows
Drive governance-by-design by embedding metadata, lineage, classification, and ownership into platform patterns
Drive adoption of AI governance architecture for agentic solutions including controls for data privacy and model lifecycle
Define AIOps standards ensuring AI systems have traceability, quality measurement, incident response readiness, and cost guardrails
Collaborate with stakeholders and product management to identify, prioritize, and mitigate technical risks and challenges
Stay informed about industry regulations, security standards, and compliance requirements to ensure solutions meet necessary standards

What you’ll bring:

Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field
7+ years in software development methodologies, architecture, and implementation of large scale enterprise systems
4+ years focused on data engineering, data management, or data platform architecture and designing AI solutions including AIOps practices
Structured problem solving to turn ambiguous requirements into scalable, low-cost solution patterns
Ability to think strategically while paying close attention to technical details
Proven experience building or evolving an enterprise data platform including standards and adoption across multiple teams
Demonstrated ability to design governance-ready AI solutions including evaluation strategies, privacy safeguards, and auditability
Strong expertise in system architecture, cloud computing, distributed systems, and integration technologies
High bar for operational readiness, actionable documentation, and treating governance as a built-in platform feature
Deep experience across modern data platform capabilities including AWS Glue, Step Functions, Airflow, dbt, Spark, and Snowflake
Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
Experience with agentic frameworks such as LangChain, LlamaIndex, or LangGraph and AIOps tooling like LangFuse
Familiarity with Agile development methodologies and the ability to adapt to a fast-paced environment
Strong understanding of security principles, performance optimization, scalability, and reliability
Demonstrated influence towards simplicity and repeatability in architecture

Nice to Have:

Experience operating in regulated environments, (SOC2, ISO 27001, or GDPR).
Familiarity with federated domain ownership models, where domains ship data products while the platform provides shared standards and tooling.
Experience designing and scaling platform observability for data pipelines, streaming systems, and AI services.
Familiarity with medallion architecture patterns
Experience in modern data platform capabilities, including:
- Streaming: Apache Kafka, AWS MSK, AWS Kinesis, GCP Pub/Sub
- Metadata and governance: DataHub, Atlan or similar

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 Architect will lead enterprise patterns for reliable, governed, and AI-driven solutions while designing data flows across the organization. They are responsible for mentoring engineering teams, establishing architectural standards, and driving the adoption of AI governance and AIOps practices.

Requirements

Candidates must have a Bachelor's or Master's degree in Computer Science or a related field and at least 7 years of experience in software architecture and enterprise systems. Proficiency in modern data platform technologies, AI frameworks, and a strong background in data engineering are essential for this role.

Skills

Software architecture
Data engineering
AI governance
AIOps
System design
Cloud computing
Python
SQL
AWS Glue
Snowflake
Apache Kafka
LangChain
Distributed systems
Data management
Agile methodologies
Technical leadership

Benefits

Flexible hybrid work
Employee resource groups
Growth opportunities

Visa sponsorship

Not detected in the job text

Keywords

Architect
Data Platform
AI Governance
AIOps
Cloud Computing
Python
SQL
Jupyter Notebooks
AWS Glue
Step Functions
Airflow
dbt
Spark
Snowflake
LangChain
LlamaIndex
LangGraph
LangFuse
Apache Kafka
AWS MSK
AWS Kinesis
GCP Pub/Sub
DataHub
Atlan
SOC2
ISO 27001
GDPR
Agile
Distributed Systems
Medallion Architecture

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