Principal Data Cloud Architect - Apps

SnowflakeYesterday

Location

CA-Ontario-Toronto

Type

Full Time

Salary

CAD 183,000 – 240,188

Level

Principal

Role

Principal Data Cloud Architect

Posted

Apr 29, 2026

Full TimePrincipal

The role

Summary

Snowflake is seeking a Principal Data Cloud Architect to drive strategic partner initiatives, focusing on developing native app connectors, optimizing data models, and supporting Snowflake's Data Cloud platform. The ideal candidate will be a technical expert who can engage with partners, deliver technical enablement, and contribute to innovative cloud-native solutions.

What you'll do

Partner Enablement: Run training sessions, workshops, and webinars to help partners become proficient with Snowflake

Technical Strategy: Assist solution providers with technical strategies to sell offerings on Snowflake

Product Knowledge: Keep partners updated on Snowflake product updates and future roadmaps

Solution Design: Conduct technical enablement programs and solution design workshops

Strategic Thinking: Develop forward-looking strategies and communicate business value

Application Development: Build native app connectors, preprocess large-scale datasets, and create data representations

AI Solution Development: Build and deploy generative AI applications and ML models

What we look for

Technical

Data ArchitectureDeep understanding of data cloud architecture and best practices

Technical Expertise10+ years of relevant experience in data engineering and cloud technologies

Education

Advanced DegreeBachelor's or Master's in Computer Science, Data Engineering, or related technical field preferred

Experience

Partner EngagementProven track record of working with large technical partners

Cloud Native SolutionsExperience in developing and deploying cloud-native SaaS applications

Skills

Required skills

Data EngineeringIn-depth knowledge and hands-on experience in data engineering practices

Cloud PlatformsExpertise in Azure, AWS, and cloud computing technologies

Database SystemsStrong experience with SQL Server, Oracle, MySQL, NoSQL databases

Data WarehousingProven experience with Azure Synapse, Redshift, BigQuery

ContainerizationProficiency in Docker and Kubernetes

ProgrammingAdvanced Python skills, Snowpark, and open-source library development

API DevelopmentWorking knowledge of API design and implementation

Machine LearningUnderstanding of ML model deployment and Generative AI technologies

Nice to have

Generative AIAdvanced knowledge of latest generative AI advancements

CI/CDExpertise in DataOps and MLops practices

Cloud IntegrationExperience with Azure Data Factory, AWS Glue, AWS Lambda

Compensation & benefits

Salary

CAD 183,000 – 240,188 (annual)

Benefits

Competitive Compensation

Comprehensive salary package with potential for performance bonuses

Innovation Culture

Opportunity to work at the forefront of data and AI technologies

Professional Growth

Mentorship and continuous learning opportunities

Global Impact

Work with major technology and enterprise partners

Interview process

1
Initial Screening — Resume review and initial phone/video call with recruiting team
2
Technical Interview — In-depth technical discussion covering data engineering, cloud architectures, and solution design
3
Partner Strategy Assessment — Case study or presentation on partner enablement and technical strategy
4
Leadership Interview — Discussion with senior leadership about strategic thinking and innovation
5
Final Interview — Comprehensive evaluation of technical skills, cultural fit, and strategic alignment