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Snowflake

Principal Data Cloud Architect

Snowflake

Principal Data Cloud Architect working with SI partners to accelerate AI/ML solutions on Snowflake's platform. Supporting production deployments and customer journey alignments for AI/ML initiatives.

Posted 7/30/2026full-timeRemote • California • 🇺🇸 United StatesLead💰 $189,000 - $248,062 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in AI/ML product categories, cloud data platforms, and MLOps, with a strong ability to mentor and guide teams in implementing effective AI/ML strategies and solutions. Proven experience in developing and deploying machine learning models and managing partner relationships within large system integrators.

Highest-signal resume keywords
AI/ML Customer Journey DevelopmentCloud Data Platform ExpertiseMLOps ImplementationMachine Learning Model DeploymentPartner Relationship Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
AI/ML Use Case DevelopmentData Science Programming (Python, SQL, Scala, Spark)Cloud ML Platforms (Sagemaker, Azure ML, VertexAI, MLFlow)Big Data Technologies (Matillion, Azure Data Factory, AWS Glue)CI/CD Processes and Tools (GIT, Azure DevOps)Serverless Computing (AWS Lambda, Azure Functions, Google Cloud Functions)Containerization (Docker, Kubernetes)Cloud Platforms (Azure, AWS, GCP)Data Science Life Cycle ManagementStrong CS Fundamentals (Data Structures, Algorithms)
Soft Skills
MentoringCollaborationCommunication
Tools & Technologies
SnowflakeCortex AI
Certifications & Qualifications
BS/MS/PhD in Computer Science or Related Majors
Industry Keywords
System IntegratorAI/ML SolutionsCloud IntegrationData Analytics

Tech Stack

Tools & technologies
AWSAzureCloudDistributed SystemsDockerGoogle Cloud PlatformKubernetesMatillionPythonScalaSparkSQL

About the role

Key responsibilities & impact
  • Strategic Account Alignment with top accounts for SI partners
  • Identify and prioritize AI/ML customer journeys for SI partner top accounts
  • Provide support for partners during RFI/RFP processes and POCs
  • Develop and share best practices and POC frameworks
  • Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE)
  • Drive partner capabilities maturity for each AI/ML product category
  • Deliver public webinars and product roadmap sessions
  • Build or replatform Partner-led Joint Industry Solutions for AI/ML
  • Assist partners with asset creation for AI/ML product categories
  • Align AI/ML customer journeys with Partner Solutions/Offerings
  • Enable partners to leverage Cortex AI for gen AI customer journeys
  • Support partners in implementing end-to-end ML development and MLOps
  • Advise partners on using Cortex AI for unstructured data analytics
  • Mentor and guide junior cloud architects in critical AI/ML engagements

Requirements

What you’ll need
  • Experience working at a large System Integrator (SI)
  • Knowledge of competitive AI/ML platforms and solutions
  • Extensive experience with cloud data platforms, preferably Snowflake
  • Hands-on experience with Cloud ML platforms (Sagemaker, Azure ML, VertexAI, MLFlow)
  • Experience building and deploying ML model pipelines using serverless and containerized computing (AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes)
  • Familiarity with MLOps and CI/CD processes and tools (GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build)
  • Experience developing AI/ML use cases and communicating AI/ML strategy and business value
  • Experience with Big Data or Cloud integration technologies (Matillion, Azure Data Factory, AWS Glue, AWS Lambda)
  • Experience developing and deploying Machine Learning models through the full Data Science life cycle
  • Expertise in data science programming languages (Python, SQL, Scala, Spark)
  • Strong experience with major cloud platforms (Azure, AWS, GCP)
  • Strong CS fundamentals (data structures, algorithms, distributed systems)
  • 10+ years industry experience
  • BS/MS/PhD in Computer Science or related majors

Benefits

Comp & perks
  • medical, dental, vision, life, and disability insurance
  • 401(k) retirement plan
  • flexible spending & health savings account
  • at least 12 paid holidays
  • paid time off
  • parental leave
  • employee assistance program
  • other company benefits