Architect

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

Required Skills