Snowflake

4 months ago

Senior Data Cloud Architect - SI Partners

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Senior, AI/ML-focused Data Cloud Architect for Snowflake Partner Solution Engineering working with large System Integrators to accelerate AI/ML deployments on the Snowflake AI Data Cloud. Drive strategic partner alignment, accelerate POCs, develop rapid deployment frameworks, and help build production-ready Snowflake practices with SI partners, mentoring juniors and shaping market-ready solutions.

Location: Minnesota

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Strategic Account Alignment with top SI partner accounts, prioritizing AI/ML journeys, supporting quick wins and high consumption.
•Expedited POCs and RFPs: assist partners during RFI/RFP processes and POCs for rapid turnaround and success.
•Rapid Deployment Frameworks: develop best practices and POC frameworks to accelerate AI/ML deployments with SI partners.
•Mentor and guide junior cloud architects in the PSE team to accelerate customer journeys and ensure production readiness.
•Contribute to SI partner Snowflake practice building, COEs, capability maturity, and market-ready joint solutions.

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

•Experience at a large System Integrator (SI) with a track record of accelerating technical wins and production deployments.
•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/tools such as GIT, Azure DevOps, SageMaker Pipelines, Google Cloud Build; Python, SQL, Scala, and/or Spark; strong CS fundamentals; 10+ years in industry with at least 5 years in pre-sales.

Experience:AI/MLSystem IntegratorCloud data platformsSnowflakeMLOpsPre-sales

Education:Master's

Skills:CommunicationMentoringLeadershipPresentationCollaboration

Languages:English

Tech Stack:SnowflakeCortex AILLMFine TuningSearchAnalystSnowflake MLPythonSQLScalaSparkAWSAzureGCPDockerKubernetesAWS LambdaAzure FunctionsGoogle Cloud FunctionsSageMaker

Company Brief

Snowflake

Provides a cloud-native data platform for data warehousing, data engineering, data science, and analytics, enabling organizations to store, process, and share large-scale data across multiple cloud providers with elastic scalability and performance.

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn

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Snowflake

4 months ago

Senior Data Cloud Architect - SI Partners

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Minnesota

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Key Responsibilities

•Strategic Account Alignment with top SI partner accounts, prioritizing AI/ML journeys, supporting quick wins and high consumption.
•Expedited POCs and RFPs: assist partners during RFI/RFP processes and POCs for rapid turnaround and success.
•Rapid Deployment Frameworks: develop best practices and POC frameworks to accelerate AI/ML deployments with SI partners.
•Mentor and guide junior cloud architects in the PSE team to accelerate customer journeys and ensure production readiness.
•Contribute to SI partner Snowflake practice building, COEs, capability maturity, and market-ready joint solutions.

Pay and Benefits

Salary: USD 165,000 - 216,562 annually

Key Requirements

•Experience at a large System Integrator (SI) with a track record of accelerating technical wins and production deployments.
•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/tools such as GIT, Azure DevOps, SageMaker Pipelines, Google Cloud Build; Python, SQL, Scala, and/or Spark; strong CS fundamentals; 10+ years in industry with at least 5 years in pre-sales.

Experience:AI/MLSystem IntegratorCloud data platformsSnowflakeMLOpsPre-sales

Education:Master's

Skills:CommunicationMentoringLeadershipPresentationCollaboration

Languages:English

Tech Stack:SnowflakeCortex AILLMFine TuningSearchAnalystSnowflake MLPythonSQLScalaSparkAWSAzureGCPDockerKubernetesAWS LambdaAzure FunctionsGoogle Cloud FunctionsSageMaker

Company Brief

Snowflake

Industry: Data Infrastructure

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Bozeman, United States

Founded: 2012

Website LinkedIn