Benevity
Architect
Calgary, Alberta
Sponsorship not specifiedDetected 140 days ago
PythonDistributed SystemsCode ReviewSQLSnowflakeAWSGCPKafkaSparkAirflowdbtData EngineeringLangGraphIncident ResponseComplianceProduct ManagementLeadershipCollaborationProblem SolvingMentoring
About the role
- 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.
- We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more!
- 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.
Responsibilities
- Develop and maintain end-to-end tracks with our data and AI focus technology strategy and architectural portfolio
- Lead architecture decisioning through Architecture Decision Records (ADRs), standards, and design reviews
- 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
- Collaborate with stakeholders and product management to identify, prioritize, and mitigate technical risks and challenges
- 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
- 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.
Requirements
- 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
- Ability to think strategically while paying close attention to technical details
- 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
- Strong understanding of security principles, performance optimization, scalability, and reliability
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
- We're not employees, we're Benevity-ites.
Benefits
- Diversity, equity, inclusion and belonging are part of Benevity's DNA.
Company info
- 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.
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This listing is sourced directly from Benevity's careers page and normalized into a canonical job model.