Senior Data Cloud Architect - SI Partners

Data Engineer · Principal · Full Time · Remote

US-MN-Remote · RemoteUSD 165k – 217k4mo ago
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Role

What you'll do.

Snowflake is seeking a Principal Data Cloud Architect to lead AI/ML initiatives with System Integrator partners, accelerating customer deployments on their AI Data Cloud platform. The role requires extensive SI experience, expertise in cloud ML platforms, and the ability to mentor teams while driving rapid AI/ML implementations.

Responsibilities

  • Strategic Account Management: Align with top SI partner accounts to identify and prioritize high-impact AI/ML customer journeys focusing on quick wins and high consumption
  • POC and RFP Support: Provide rapid support for partners during RFI/RFP processes and proof-of-concepts, ensuring successful outcomes with quick turnaround
  • Deployment Framework Development: Create and share best practices and POC frameworks specifically designed to accelerate AI/ML customer journey deployments
  • Center of Excellence Collaboration: Collaborate on creating and managing Partner Snowflake Centers of Excellence with focus on accelerating AI/ML deployments
  • Capability Maturity Development: Drive partner capabilities maturity for each AI/ML product category, emphasizing 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 creating templates, code samples, and deployment guides for AI/ML product categories
  • Customer Journey Alignment: Align AI/ML customer journeys with Partner Solutions/Offerings for immediate value and quick wins
  • Cortex AI Enablement: Enable partners to leverage Cortex AI for generative AI customer journeys including LLM, Fine Tuning, Search, and Analyst
  • ML/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

Qualifications

What we look for.

Technical

  • System Integrator Experience

    Required experience working at a large System Integrator with proven track record of accelerating technical wins and production deployments

  • Cloud Data Platforms

    Extensive experience with cloud data platforms, preferably Snowflake

  • Cloud ML Platforms

    Hands-on experience with SageMaker, Azure ML, Vertex AI, and/or MLFlow

  • ML Pipeline Deployment

    Experience building and deploying ML model pipelines using serverless and containerized computing

  • MLOps and CI/CD

    Familiarity with MLOps and CI/CD processes and tools

  • Big Data Integration

    Experience with Big Data or Cloud integration technologies

  • Full ML Lifecycle

    Experience developing and deploying Machine Learning models through full Data Science lifecycle

  • Programming Languages

    Expertise in Python, SQL, Scala, and/or Spark

  • Cloud Platforms

    Strong experience with Azure, AWS, and GCP

  • Computer Science Fundamentals

    Strong CS fundamentals including data structures, algorithms, and distributed systems

Education

  • Degree Requirement

    BS/MS/PhD in Computer Science or related majors

Experience

  • Industry Experience

    10+ years industry experience designing, building and supporting large-scale systems

  • Pre-sales Experience

    Minimum of 5 years in a pre-sales role

  • AI/ML Use Case Development

    Experience developing AI/ML use cases including communicating AI/ML strategy and business value

Skills

Required

  • System Integrator Background

    Must have worked at large SI with track record of technical wins and production deployments

  • Cloud Data Platforms

    Extensive experience with cloud data platforms, preferably Snowflake

  • Machine Learning Platforms

    Hands-on experience with SageMaker, Azure ML, Vertex AI, MLFlow

  • Programming

    Expertise in Python, SQL, Scala, and/or Spark

  • Cloud Computing

    Strong experience with Azure, AWS, GCP

  • MLOps

    Experience with MLOps and CI/CD processes

  • Large-scale Systems

    10+ years designing, building and supporting large-scale systems

  • Pre-sales

    Minimum 5 years in pre-sales role

Preferred

  • Competitive AI/ML Platforms

    Nice to have

    Knowledge of competitive AI/ML platforms and solutions

  • Container Technologies

    Nice to have

    Experience with Docker, Kubernetes for ML deployments

  • Big Data Integration

    Nice to have

    Experience with Matillion, Azure Data Factory, AWS Glue, AWS Lambda

  • AI/ML Strategy

    Nice to have

    Experience communicating AI/ML strategy and business value

  • Advanced Degree

    Nice to have

    MS/PhD in Computer Science or related field

Tech stack

Languages

PythonSQLScalaSpark

Frameworks

MLFlowSnowflake MLCortex AIDockerKubernetes

Databases

SnowflakeCloud Data Warehouses

Tools

AWS SageMakerAzure MLGoogle Vertex AIAWS LambdaAzure FunctionsGoogle Cloud FunctionsMatillionAzure Data FactoryAWS GlueGITAzure DevOpsSageMaker PipelinesGoogle Cloud Build

Other

AWSAzureGCPCI/CDMLOps

Compensation

Pay and benefits.

Base·USD 165,000 – 216,562

Equity·Stock options

Benefits

  • Comprehensive Benefits Package

    Full benefits information available on Snowflake careers site

  • Stock Options

    Equity participation in company growth

  • Remote Work

    Fully remote position with flexibility

  • Professional Development

    Opportunities for career growth in fast-scaling company

  • Innovation Culture

    Work in cutting-edge AI and data cloud technologies

Process

Interview steps.

  1. 01

    Initial Screen

    Phone or video interview with recruiter covering background and role fit

  2. 02

    Technical Interview

    Deep dive into AI/ML experience, cloud platforms, and System Integrator background

  3. 03

    Architecture Discussion

    Technical discussion of data architecture patterns and ML deployment strategies

  4. 04

    Partner Scenario

    Case study or scenario-based interview focusing on SI partner enablement

  5. 05

    Leadership Interview

    Interview with senior leadership covering strategic thinking and mentorship abilities

  6. 06

    Final Round

    Panel interview with cross-functional team members and final cultural fit assessment

Full posting

Original listing.

Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.

Principal Data Cloud Architect - SI Partners

We are seeking a highly experienced and results-driven AI/ML focused Principal Data Cloud Architect to join our Partner Solution Engineering (PSE) team. Our mission is to empower System Integrator (SI) partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. Snowflake, the AI Data Cloud, enables teams to seamlessly run analytical workflows, develop agentic apps, and train models using both structured and unstructured data. With over 4,000 customers leveraging our gen AI and ML technology weekly, we are at the forefront of AI innovation. This role is crucial in accelerating AI/ML customer journey technical wins and production deployments being implemented by SI partners.

As a Principal Data Cloud Architect - SI Partners, you will perform:

  • Strategic Account Alignment with top accounts for SI partners (Focus on Acceleration):

    • Unlock High-Impact Customer Journeys: Identify and prioritize AI/ML customer journeys for SI partner top accounts, focusing on quick wins and high consumption, informed by your understanding of SI partner needs.

    • Expedited POCs and RFPs: Provide support for partners during RFI/RFP processes and POCs, ensuring rapid turnaround and successful outcomes, informed by your SI proposal experience.

    • Rapid Deployment Frameworks: Develop and share best practices and POC frameworks specifically designed to accelerate the deployment of prioritized AI/ML customer journeys, based on your SI project implementation knowledge.

  • SI Partner Snowflake Practice Building (Focus on Production Readiness):

    • COE for Rapid Implementation: Collaborate on creating and managing Partner Snowflake Centers of Excellence (COE) with a focus on accelerating AI/ML deployments, leveraging your SI center of excellence experience.

    • Accelerated Capability Maturity: Drive partner capabilities maturity for each AI/ML product category, emphasizing hands-on skills and practical knowledge, informed by your SI skill development experience.

    • Targeted Communication: Deliver public webinars and product roadmap sessions focused on accelerating AI/ML implementation, drawing on your SI presentation and communication experience.

  • Work on Initiatives and Joint Solutions with SI partners (Focus on Market-Ready Solutions):

    • Rapid Joint Solution Development: Build or replatform Partner-led Joint Industry Solutions for AI/ML, focusing on speed to market, based on your SI solution development experience.

    • Asset Creation for Fast Implementation: Assist partners with asset creation for AI/ML product categories, focusing on templates, code samples, and deployment guides, drawing on your SI asset creation experience.

    • Customer Journey Alignment for Quick Wins: Align AI/ML customer journeys with Partner Solutions/Offerings, focusing on immediate value and quick wins, informed by your SI customer journey analysis experience.

  • AI/ML Focused work with SI partners (Hands-On Expertise):

    • Enable partners to leverage Cortex AI for gen AI customer journeys, including Cortex LLM, Fine Tuning, Search, and Analyst, with a focus on practical application.

    • Support partners in implementing end-to-end ML development and MLOps using Snowflake ML, emphasizing rapid deployment and operationalization.

    • Advise partners on using Cortex AI for unstructured data analytics, focusing on real-world customer journeys and quick results.

  • Mentor and guide junior cloud architects in our PSE team working on critical AI/ML engagements with our SI partners, aiming to accelerate their customer journeys, ensuring production readiness, and developing market-ready solutions. By sharing expertise and providing hands-on guidance, the Principal Data Cloud Architect will empower the junior team members to effectively support SI partners in deploying successful AI/ML solutions on the Snowflake AI Data Cloud.

  • Our ideal Principal Data Cloud Architect - SI Partners will have:

  • REQUIRED: Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments.

  • PLUS: Knowledge of competitive AI/ML platforms and solutions.

  • Extensive experience with cloud data platforms, preferably Snowflake.

  • Hands-on experience with Cloud ML platforms such as Sagemaker, Azure ML, VertexAI, and/or MLFlow.

  • Experience building and deploying ML model pipelines using serverless and containerized computing including AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes etc.

  • Familiarity with MLOps and CI/CD processes and tools, such as GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build

  • Experience with developing AI/ML use cases including communicating AI/ML strategy and business value

  • Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc.

  • Experience in developing and deploying Machine Learning models through the full Data Science life cycle.

  • Expertise in data science programming languages including Python, SQL, Scala, and/or Spark.

  • Strong experience with major cloud platforms and tooling, especially Azure, AWS, GCP

  • Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems.

  • 10+ years industry experience designing, building and supporting large-scale systems with a minimum of 5 years in a pre-sales role.

  • BS/MS/PhD in Computer Science or related majors.

  • This role requires a highly motivated and results-driven individual who is passionate about accelerating AI/ML adoption and success for our partners. If you are ready to make a significant impact and drive rapid AI/ML implementation, and possess the required experience at a large System Integrator, we encourage you to apply.

Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

How do you want to make your impact?

For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com

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