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 engagements as the most senior technical voice in the room, guiding customers from implementation to long-term data and AI platform strategy. Lead architecture decisions, translate ambiguous problems into scalable solutions, and serve as escalation for technical risks. Architect and implement end-to-end AI/ML solutions on Snowflake, define MLOps practices, drive adoption of Cortex and other AI features, and mentor junior architects and consultants.

Location: Menlo Park

Workplace: Onsite

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, develop long-term roadmaps, and align Snowflake capabilities to business objectives.
•Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability.
•Define and champion MLOps practices, including model deployment pipelines, monitoring, governance frameworks, and lifecycle management.
•Drive adoption of Snowflake’s AI product suite and lead replatforming efforts for complex AI/ML workloads, while mentoring junior architects and consultants.

Pay and Benefits

Salary: USD 160,000 - 210,000 annually

Key Requirements

•BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience.
•8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role.
•Demonstrated 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 and implementing MLOps frameworks and model lifecycle management at enterprise scale.

Experience:8+ yearsAI/MLData engineeringEnterprise platformsMLOpsCustomer-facing technical consulting

Education:Bachelor's

Skills:Customer leadershipTechnical advisoryRisk mitigationStakeholder influenceMentoring

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

Tech Stack:SnowflakeSQLPythonCortexStreamlit in SnowflakeSnowflake IntelligenceMLOpsETLData modelingAWSGoogle CloudMicrosoft AzureLLM

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: Menlo Park

Workplace: Onsite

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, develop long-term roadmaps, and align Snowflake capabilities to business objectives.
•Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability.
•Define and champion MLOps practices, including model deployment pipelines, monitoring, governance frameworks, and lifecycle management.
•Drive adoption of Snowflake’s AI product suite and lead replatforming efforts for complex AI/ML workloads, while mentoring junior architects and consultants.

Pay and Benefits

Salary: USD 160,000 - 210,000 annually

Key Requirements

•BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience.
•8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role.
•Demonstrated 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 and implementing MLOps frameworks and model lifecycle management at enterprise scale.

Experience:8+ yearsAI/MLData engineeringEnterprise platformsMLOpsCustomer-facing technical consulting

Education:Bachelor's

Skills:Customer leadershipTechnical advisoryRisk mitigationStakeholder influenceMentoring

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

Tech Stack:SnowflakeSQLPythonCortexStreamlit in SnowflakeSnowflake IntelligenceMLOpsETLData modelingAWSGoogle CloudMicrosoft AzureLLM

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