Snowflake

1 week ago

Sr. Technical Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Own technical delivery for complex, high-priority customer engagements, serving as the primary technical authority for architecture decisions and measurable outcomes. Partner with executives to define platform strategy and long-term roadmaps across customers’ data and AI journeys. Architect and implement end-to-end AI/ML solutions on Snowflake, champion MLOps practices, and drive adoption of Cortex, Streamlit in Snowflake, and Snowflake Intelligence while mentoring junior architects.

Location: Illinois, New York, Massachusetts

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex implementations.
•Partner with customer executives to define platform strategy and long-term roadmaps aligned to business objectives.
•Translate ambiguous business problems into scalable technical solutions with delivery paths and risk-mitigation strategies.
•Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability.
•Define and champion MLOps practices and drive adoption of Snowflake’s AI product suite, while mentoring junior architects and influencing product direction with feedback.

Pay and Benefits

Salary: USD 136,000 - 178,500 annually

Key Requirements

•BA/BS in computer science, engineering, mathematics, or related field, or equivalent practical experience.
•8+ years’ experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role.
•Proven track record leading architecture decisions on large-scale, enterprise data and AI platforms.
•Deep hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and platform governance.
•Proficiency in SQL and Python and experience designing MLOps frameworks and model lifecycle management at enterprise scale.

Experience:8+ yearsEnterprise dataAI/MLData engineering

Education:Bachelor's

Skills:Customer leadershipTechnical advisoryStakeholder influenceRisk mitigationMentorship

Certifications:AWS Advanced certification(s)Google Cloud Advanced certification(s)Microsoft Azure Advanced certification(s)Snowflake SnowPro Advanced Certification(s)

Tech Stack:SnowflakeCortexStreamlit in SnowflakeSnowflake IntelligenceSQLPythonAI/MLMLOpsETLAWSGoogle CloudMicrosoft AzureGenerative AILLMModel deployment pipelinesMonitoringGovernance

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

1 week ago

Sr. Technical Architect

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 23 hours agoStatus: Live

Job Summary

Location: Illinois, New York, Massachusetts

Workplace: Remote

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex implementations.
•Partner with customer executives to define platform strategy and long-term roadmaps aligned to business objectives.
•Translate ambiguous business problems into scalable technical solutions with delivery paths and risk-mitigation strategies.
•Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability.
•Define and champion MLOps practices and drive adoption of Snowflake’s AI product suite, while mentoring junior architects and influencing product direction with feedback.

Pay and Benefits

Salary: USD 136,000 - 178,500 annually

Key Requirements

•BA/BS in computer science, engineering, mathematics, or related field, or equivalent practical experience.
•8+ years’ experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role.
•Proven track record leading architecture decisions on large-scale, enterprise data and AI platforms.
•Deep hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and platform governance.
•Proficiency in SQL and Python and experience designing MLOps frameworks and model lifecycle management at enterprise scale.

Experience:8+ yearsEnterprise dataAI/MLData engineering

Education:Bachelor's

Skills:Customer leadershipTechnical advisoryStakeholder influenceRisk mitigationMentorship

Certifications:AWS Advanced certification(s)Google Cloud Advanced certification(s)Microsoft Azure Advanced certification(s)Snowflake SnowPro Advanced Certification(s)

Tech Stack:SnowflakeCortexStreamlit in SnowflakeSnowflake IntelligenceSQLPythonAI/MLMLOpsETLAWSGoogle CloudMicrosoft AzureGenerative AILLMModel deployment pipelinesMonitoringGovernance

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