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Architect
Benevity
Toronto, CAN
Full Time
Senior
Hybrid
1 weeks ago
System ArchitectureCloud ComputingDistributed SystemsAWS GlueStep FunctionsAirflow
Free
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System ArchitectureCloud ComputingDistributed Systems
About the Role
Benevity seeks a senior Architect to lead enterprise patterns for reliable, governed, AI-driven solutions. You will design data flows, mentor engineers, and drive AI governance architecture.
Key Skills for This Role
System ArchitectureCloud ComputingDistributed SystemsAWS GlueStep FunctionsAirflow
Responsibilities
- 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.
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.
- 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.
Full Job Posting
Meet Benevity
- Benevity provides technology for companies and employees to take social action 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 are one of the first B Corporations in Canada.
Role Overview
- 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.
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.
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.
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) and metadata/governance (DataHub, Atlan or similar).
Where We Work
- We embrace a flexible hybrid approach to where we work that empowers our people.
- For those located near one of our offices, there is no set requirement for in office time, but we value in person moments for onboarding, project work, and team alignment.
Join a Company Where DEIB Isn’t a Buzzword
- Diversity, equity, inclusion and belonging are part of Benevity’s DNA.
- We are committed to creating a culture of belonging with equal opportunities for everyone to shine.
Compensation Range
- CAD 152.4K CAD 210K per year.
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