Jobs in Canada

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Added 6 months ago
K
Software Engineer
Kaleris
British Columbia
- Full-time
Experience with advanced SQL queries and stored procedures
Added 6 months ago
TA
Manager/ Sr. Manager - BI Consulting (Life Sciences/Pharma)
Tiger Analytics Inc.
Remote, Canada
- Full-time
- Remote
Strong SQL skills and hands-on experience with analytic tools like R & Python & visualisation tools like Power BI
Added 6 months ago
PG
Director, Support
Perseus Group, Constellation Software
Waterloo, Ontario
- Full-time
Hands-on experience gained through school projects, labs, or personal learning using any database technology (SQL or non-SQL).
Added 6 months ago
AF
Senior ERP LN Technical Analyst Programmer
Armstrong Fluid Technology
Toronto, Ontario
- Full-time
Also strong Understanding of System Analysis and ERP Programming, Proficient in LN Application, LN Studio, SQL, Hands on experience in Infor LN Programming.
Added 6 months ago
K
Data Engineer
KUBRA
Mississauga, Ontario
- Full-time
Develop and maintain data infrastructure across SQL Server, AWS, and cloud-based data platforms
Added 6 months ago
AY
Lead, Analytics Engineering
Avison Young Canada
Toronto, Ontario
- Full-time
Strong understanding of SQL, data architecture, data pipelines, and geospatial datasets.
Added 3 months ago
Senior Software Frontend Engineer – Dashboards
Databricks
Vancouver, BC
…dashboards, as well as for authoring the data behind them, including SQL datasets, custom calculations, and semantic…
Added 6 months ago
CF
Senior Business Systems Analyst
CI Financial
Ontario
- Full-time
This role follows our in‑office work model and requires employees to be onsite four days per week to support collaboration and business needs
Added 2 months ago
Principal Software Developer - FinOps
Zynga
Toronto, ON
8+ years of hands-on experience with the following: SQL, data warehouses, Tableau or similar data visualization tools
Added 6 months ago
Senior Application Support Engineer (Trading & Market Data)
Solactive AG
Toronto, Ontario
Execute database changes and optimise SQL queries.
Added 2 months ago
Analyst ETF Services (m/f/d)
Solactive AG
Toronto, ON
Ideally experience with version control tools (e.g. Git) and databases (SQL).
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
F
Software Developer
Fortinet
Burnaby, British Columbia
- Full-time
As an Embedded Developer at Fortinet, you will be responsible for the full development cycle of newer and award winning flagship Fortinet products. You will be given the opportunity to…
Added 6 months ago
S
Senior AI Engineer
ShyftLabs
Toronto, Ontario
- Full-time
-Hybrid Flexibility: Enjoy a hybrid model with three days per week in our Toronto office
Added 6 months ago
M
Manager, Financial Systems
MNP
Calgary, Alberta
- Full-time
T-SQL and VB.NET Developer Certifications, or equivalent
Added 6 months ago
WA
Insurance Underwriting AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
Proficiency in tools such as Python, R, SQL, and data visualization platforms.
Added 6 months ago
WA
Capital allocation AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
Strong analytical tools proficiency (e.g., Python, SQL, Excel, or similar).
Added 6 months ago
WA
Strategic finance AI Expert
Weekday AI
Remote, Canada
- Part-time
- Remote
Hands-on experience with data tools such as Python, SQL, or advanced Excel; familiarity with AI/ML frameworks is highly preferred.
Added 2 months ago
D
Associate Director, Paid Search & Social (Remote Canada) - Future Opening
Directive
Remote, Canada
- Full-time
- Remote
For global locations, you must have established and current work authorization and permanently reside in that country
Added 6 months ago
JI
Product Owner – Sourcing & Demand | Responsable produit – Approvisionnement et demande
Jesta I.S.
Montreal, Quebec
- Full-time
Hybrid work model: minimum 2 days per week in the Montreal office
Added 6 months ago
FC
Senior Technical Analyst, Data Engineering and Business Intelligence
Fidelity Canada
Toronto, Ontario
- Full-time
Strong hands-on experience with Snowflake, including data modeling, SQL development and performance optimization.
Added 2 months ago
V
Chief Anti-Money Laundering Officer
Venn
Toronto, ON
- Full-time
Added 2 months ago
PC
Credit Risk Modelling Senior Associate
Pwc Canada
Toronto, ON
- Full-time
Significant experience and proven ability in at least one of the following programming languages/software: Python, R, SQL, SAS, C++, etc.
Added 6 months ago
P
Credit Risk Modelling Senior Associate
PwC
Toronto, Ontario
- Full-time
Significant experience and proven ability in at least one of the following programming languages/software: Python, R, SQL, SAS, C++, etc.
Added 6 months ago
Architect
Benevity
Calgary, Alberta
Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks

Benevity

Architect

Calgary, AB, Canada

Apply on benevity.com About employer

Applications open in a new tab.

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.

Apply on benevity.com About employer

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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Work requirements

Jobs in Canada