Architect

Benevity; Calgary; Hybrid; CAD 140,000 - 190,000; Full time

Benefits offered by this job

Flexible hybrid work

Job summary

Benevity is seeking a Senior Platform Architect to lead data and AI strategy across our technology portfolio in a hybrid work setting. You will shape how data flows from ingestion to consumption, ensure AI systems are secure, auditable, and scalable, and influence senior engineers and leadership toward enterprise-wide architecture goals.

You will guide governance-ready AI solutions, establish data quality practices, and drive standardized data flow patterns across the organization, partnering

Qualifications

• Bachelors or Masters 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.

Responsibilities

• Develop and maintain end-to-end data and AI strategy and architectural portfolio.
• Mentor engineers and leadership with clear patterns and hands-on guidance.
• Lead architecture decisioning through ADRs, standards, and design reviews.
• Oversee architectural reviews, code reviews, and performance analysis.
• Foster collaboration and continuous learning through mentorship and workshops.
• Enable governed data consumption through data contracts and curated datasets.
• Standardize end-to-end data flow patterns across ingestion, transformation, storage, serving, and retirement.
• Set platform standards for orchestration, reliability, and operational dashboards.
• Establish enterprise data quality practices including monitoring and issue triage workflows.
• Drive governance-by-design with metadata, lineage, classification and ownership.
• Drive AI governance architecture for agentic solutions with privacy and model lifecycle controls.
• Define AIOps standards ensuring traceability, quality measurement and incident response readiness.
• Collaborate with stakeholders to identify and mitigate technical risks and challenges.
• Stay informed about regulations and security standards to ensure compliant solutions.

Skills

Mentoring

Strategic thinking

Problem solving

Influencing leadership

Education

Bachelor's or Master's in Computer Science or Software Engineering

Tools

Python

SQL

Jupyter Notebooks

Airflow

dbt

Spark

Snowflake

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 ...

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 [e-mail].