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Added 2 months ago
OT
Business Analyst, Financial Management and Reporting (FMR)
Ontario Teachers' Pension Plan
Toronto, ON
- Full-time
Experience and skills in data modelling, data analytics tools such as SQL and data querying
Added 1 month ago
MI
Senior Associate, IT, Application Support Analyst (Core Banking)
MUFG Investor Services
Toronto, ON
- $91,000 to $110,000 CAD / year
- Full-time
Exposure and understanding of SWIFT products and messaging standards, ISO 20022,SQL Server, PL/SQL, Java and .Net applications.
Added 4 months ago
CF
Manager, Data Operations
CI Financial
Toronto, Ontario
- Full-time
Proficiency in SQL and Python, with the ability to guide technical design and review solutions.
Added 5 months ago
Director, Business Intelligence
Viral Nation Inc.
Canada
Deep technical proficiency in analytics and BI technologies, including Python and SQL for analysis and data modeling, Google Cloud Platform, BigQuery, and Snowflake for data infrastructure,…
Added 5 months ago
S
Sr. Site Reliability Engineering - Azure Platform
SimCorp
Toronto, Ontario
- Full-time
Comfort with Linux and Windows systems, APIs, scripting (PowerShell, Bash), and SQL
Added 3 months ago
Staff Data Developer
AlayaCare
Montreal, Quebec
We are seeking a Staff Data Developer to join our Data & Intelligence division. Reporting to the Director of Data Engineering, you will design and implement scalable, complex data pipelines…
Added 1 month ago
EA
Economic Data Analyst/Scientist
Environics Analytics
Toronto, ON
- Full-time
Proficient in advanced SQL queries with a strong understanding of relational databases.
Added 3 months ago
DevOps Systems Administrator – Linux
Global Relay
Vancouver, BC
SQL administration (Postgres, MySQL, SQL Server, Oracle, etc.)
Added 8 months ago
Lead Developer
Purdys Chocolatier
Vancouver, British Columbia
We’re looking for a Lead Developer to join our IT team based in the 8330 Chester Office in Vancouver, BC! This person will report to the IT Operations Manager.
Added 4 months ago
S
Senior Manager, Data Science
SOTI
Mississauga, Ontario
- Full-time
It all started with a classic story about one developer’s vision. In 1995, Carl Rodrigues, President and CEO of SOTI, has developed solutions for managing mobile device screens from a…
Added 5 months ago
Architect
Benevity
Toronto, Ontario
Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
Added 5 months ago
Architect
Benevity
Calgary, Alberta
Proficiency in programming and analytics using Python, SQL, and Jupyter Notebooks
Added 2 months ago
Product Data Manager
Acuity Inc.
Brossard, QC
Added 2 months ago
JS
BI Data Engineer
Jonas Software
Markham, ON · Canada - Markham - Ontario
- Full-time
…semantic data models - primarily in AWS QuickSight on top of SQL-based datasets. This is a hands-on BI role that involves building data models, data pipelines and a web presentation layer.…
Added 2 months ago
JC
BI Data Engineer
Jonas Club Software
Markham, ON · Canada - Markham - Ontario
- Full-time
…semantic data models - primarily in AWS QuickSight on top of SQL-based datasets. This is a hands-on BI role that involves building data models, data pipelines and a web presentation layer.…
Added 3 months ago
Ingénieur(e) en soutien de production | Programme diplômés Cloud, DevOps et SRE / Production Support Engineer | Cloud, DevOps & SRE Graduate Programme
mthree
Montreal, Quebec
Des connaissances de base en SQL et une familiarité avec les bases de données relationnelles.
Added 4 months ago
Développeur génie logiciel junior / Junior Software Developer
mthree
Montreal, Quebec
Connaissance des concepts de base de données (SQL, stored procs, schema design)
Added 4 months ago
Développeur génie logiciel / Junior Software Developer – Canada (Montreal)
mthree Recruiting Portal
Montreal, Quebec
Connaissance des concepts de base de données (SQL, stored procs, schema design)
Added 4 months ago
Power BI Developer
mthree Recruiting Portal
Montreal, Quebec
Outstanding opportunity to join a new Global data innovation and infrastructure lab at a global banking organisation as a Power BI Developer.
Added 3 months ago
Staff Product Manager, Growth
Brex
Vancouver, British Columbia
Deep analytical fluency; comfortable working with funnel metrics, experimentation frameworks, and data tools (SQL proficiency preferred).
Added 6 months ago
Manager, Customer Operations
Forma.ai
Toronto, Ontario
Added 2 months ago
Staff Back End Engineer (Applications)
Forma.ai
Toronto, ON
Strong foundation in relational schema design, data modelling, and SQL.
Added 2 months ago
Senior Staff Backline Engineer - Data & AI
Databricks
Vancouver, BC
…efficient workflows. Solid hands-on programming skills in Python, SQL, or…
Added 4 months ago
B
AI Scientist & Engineer, Assurance Innovation Lab
BDO
Calgary, Alberta · Edmonton, Alberta · Halifax, Nova Scotia
- Full-time
Data & Vector Infrastructure: Hands-on experience with Pinecone, Milvus, Weaviate, and standard SQL/NoSQL databases
Added 4 months ago
BB
Senior Account Executive
Bosch Building Technologies
Calgary, Alberta
- Full-time
…Intrusion Systems, Client-Servicer security applications, MS SQL databases, Server and Storage…

Benevity

Architect

Calgary, AB, Canada

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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

This senior technology leader will develop and maintain end-to-end technology strategy tracks focused on data and AI, while mentoring engineers and technical leadership on clear architectural patterns and complex implementations. Responsibilities include leading architecture decisioning via ADRs, overseeing reviews, and fostering a culture of collaboration and knowledge sharing.

Requirements

Candidates must possess a Bachelor's or Master's degree in a related field along with 7+ years in large-scale enterprise system architecture and 4+ years focused on data platform architecture and AI solutions, including AIOps. Required expertise includes strong system architecture skills, cloud computing, modern data platform capabilities, and proficiency in Python and SQL.

Skills

Enterprise Architecture
Data Flow Design
AI Governance
Platform Strategy
System Thinking
Mentorship
Architecture Decision Records
Data Contracts
Data Quality Practices
Metadata Management
Agentic Solutions
AIOps Standards
Cloud Computing
Distributed Systems
Python
SQL

Visa sponsorship

Not detected in the job text

Keywords

Technology Platform
Social Action
Fortune 100
B Corporation
Enterprise Patterns
AI-Driven Solutions
Data Ingestion
Data Consumption
Systems Thinking
Data Strategy
Architecture Decision Records
SLAs
Idempotency
Data Quality
Lineage
Model Lifecycle
Traceability
Cost Guardrails
AWS Glue
Airflow
dbt
Spark
Snowflake
Python
SQL
LangChain
LlamaIndex
LangGraph
AIOps
SOC2

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