Snowflake

Principal Data Cloud Architect - SI Partners

Snowflake3 weeks ago
Location

US-CA-Remote

Workplace

Remote

Type

Full Time

Salary

USD 189,000 – 248,062

Level

Principal

Role

Principal Data Cloud Architect

Posted

Feb 17, 2026

Full TimeRemotePrincipal

The role

Summary

Snowflake is seeking a Principal Data Cloud Architect specializing in AI/ML solutions to work with System Integrator partners. This role focuses on accelerating AI/ML customer journeys, building production-ready solutions, and empowering partners to leverage Snowflake's AI Data Cloud platform. The ideal candidate brings 10+ years of experience with 5+ years in pre-sales roles and proven SI experience.

What you'll do

Strategic Account Alignment: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption
POC and RFP Support: Provide rapid support for partners during RFI/RFP processes and POCs, ensuring successful outcomes
Deployment Framework Development: Develop and share best practices and POC frameworks to accelerate AI/ML customer journey deployments
Center of Excellence Management: Collaborate on creating and managing Partner Snowflake Centers of Excellence focused on AI/ML deployments
Partner Capability Development: Drive partner capabilities maturity for AI/ML product categories with hands-on skills and practical knowledge
Technical Communication: Deliver public webinars and product roadmap sessions focused on accelerating AI/ML implementation
Joint Solution Development: Build or replatform Partner-led Joint Industry Solutions for AI/ML with focus on speed to market
Asset Creation: Assist partners with AI/ML asset creation including templates, code samples, and deployment guides
Cortex AI Enablement: Enable partners to leverage Cortex AI for gen AI customer journeys including LLM, Fine Tuning, Search, and Analyst
MLOps Implementation: Support partners in implementing end-to-end ML development and MLOps using Snowflake ML
Unstructured Data Analytics: Advise partners on using Cortex AI for unstructured data analytics focusing on real-world customer journeys
Team Mentorship: Mentor and guide junior cloud architects in PSE team working on critical AI/ML engagements with SI partners

What we look for

Technical

System Integrator ExperienceREQUIRED: Experience working at a large System Integrator with proven track record of accelerating technical wins
Cloud Data Platform ExpertiseExtensive experience with cloud data platforms, preferably Snowflake
Cloud ML PlatformsHands-on experience with SageMaker, Azure ML, VertexAI, and/or MLFlow
ML Pipeline DevelopmentExperience building and deploying ML model pipelines using serverless and containerized computing
MLOps and CI/CDFamiliarity with MLOps and CI/CD processes and tools including GIT, Azure DevOps, SageMaker Pipelines
Data Science ProgrammingExpertise in Python, SQL, Scala, and/or Spark for data science applications
Cloud Platform MasteryStrong experience with major cloud platforms and tooling, especially Azure, AWS, GCP
Computer Science FundamentalsStrong CS fundamentals including data structures, algorithms, and distributed systems
Big Data IntegrationExperience with Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue
Full ML LifecycleExperience in developing and deploying Machine Learning models through complete Data Science lifecycle
AI/ML StrategyExperience developing AI/ML use cases and communicating AI/ML strategy and business value

Education

Computer Science DegreeBS/MS/PhD in Computer Science or related majors

Experience

Industry Experience10+ years industry experience designing, building and supporting large-scale systems
Pre-sales ExperienceMinimum of 5 years in a pre-sales role
AI/ML Platform KnowledgePLUS: Knowledge of competitive AI/ML platforms and solutions

Skills

Required skills

System Integrator ExperienceMust have worked at a large System Integrator with proven track record
Cloud Data PlatformsExtensive experience with cloud data platforms, preferably Snowflake
Machine Learning PlatformsHands-on experience with SageMaker, Azure ML, VertexAI, and/or MLFlow
Programming LanguagesExpertise in Python, SQL, Scala, and/or Spark
Cloud PlatformsStrong experience with Azure, AWS, GCP platforms and tooling
MLOps and CI/CDFamiliarity with MLOps processes and CI/CD tools
Distributed SystemsStrong CS fundamentals including data structures, algorithms, and distributed systems
ML Lifecycle ManagementExperience with full Data Science lifecycle from development to deployment

Nice to have

Competitive AI/ML PlatformsKnowledge of competitive AI/ML platforms and solutions
Big Data IntegrationExperience with Matillion, Azure Data Factory, AWS Glue, AWS Lambda
Container TechnologiesExperience with Docker, Kubernetes for ML model deployment
Serverless ComputingExperience with AWS Lambda, Azure Functions, Google Cloud Functions
AI/ML StrategyExperience communicating AI/ML strategy and business value to stakeholders

Compensation & benefits

Salary

USD 189,000 – 248,062 (annual)

Stock options

Available

Benefits

Competitive Compensation

Salary range $189,000 - $248,062 with equity opportunities

Remote Work

Fully remote position with flexible work arrangements

Professional Development

Opportunities to work with cutting-edge AI/ML technology and grow technical expertise

Innovation Culture

Culture focused on impact, innovation, and collaboration

Career Growth

Opportunity to take technology and careers to the next level in a fast-growing company

Interview process

  1. 1
    Initial Screening — Phone or video screen to assess basic qualifications and cultural fit
  2. 2
    Technical Interview — Deep dive into AI/ML experience, cloud platforms, and System Integrator background
  3. 3
    Architecture Discussion — Technical discussion on designing ML solutions and partner enablement strategies
  4. 4
    Case Study Presentation — Present a real-world scenario of accelerating AI/ML deployment with SI partners
  5. 5
    Leadership Interview — Interview with senior leadership focusing on strategic thinking and mentorship capabilities
  6. 6
    Final Round — Comprehensive interview covering technical expertise, communication skills, and team fit
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Snowflake

Snowflake

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Snowflake is an American cloud computing company offering data warehousing and analytics platforms.

Bozeman, Montana, United StatesFounded 2012snowflake.com

Tech Stack

Languages
PythonSQLScalaSpark
Frameworks
MLFlowKubernetesDocker
Databases
SnowflakeCloud Data Warehouses
Tools
AWS SageMakerAzure MLVertexAIAWS LambdaAzure FunctionsGoogle Cloud FunctionsMatillionAzure Data FactoryAWS GlueGitAzure DevOpsSageMaker PipelinesGoogle Cloud Build
Other
Cortex AIMLOpsCI/CDDistributed Systems

Interview Guides

11 guides available for Snowflake

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