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 across their data and AI journey, serving as the primary technical authority. Lead architecture decisions and translate ambiguous business needs into scalable solutions. Architect end-to-end AI/ML solutions on Snowflake, champion MLOps and platform governance, and drive adoption of Snowflake’s AI product suite. Influence product direction with customer feedback and mentor junior architects and consultants.

Location: Washington

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 delivering measurable outcomes across complex, multi-workstream 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 onto Snowflake, coordinating across teams; mentor junior architects and consultants.

Pay and Benefits

Salary: USD 128,000 - 168,000 annually

Key Requirements

•BA/BS in computer science, engineering, mathematics, or related field (or equivalent practical experience).
•8+ years in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role.
•Proven track record leading architecture decisions for large-scale enterprise data and AI platforms.
•Hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and platform governance.
•Proficiency in SQL and Python, plus strong understanding of the AI/ML lifecycle and MLOps/model lifecycle management.

Experience:8+ yearsEnterprise dataAIData engineeringMLOps

Education:Bachelor's in computer science, engineering, mathematics, or related field

Skills:Customer leadershipStakeholder influenceMentoringRisk mitigationTechnical advisory

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

Tech Stack:SnowflakeSQLPythonAI/MLMLOpsCortexStreamlit in SnowflakeSnowflake IntelligenceETLData pipelinesData modelingBI toolingSemantic layersLLMAWSGoogle CloudMicrosoft AzureSnowflake SnowPro

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: Washington

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 delivering measurable outcomes across complex, multi-workstream 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 onto Snowflake, coordinating across teams; mentor junior architects and consultants.

Pay and Benefits

Salary: USD 128,000 - 168,000 annually

Key Requirements

•BA/BS in computer science, engineering, mathematics, or related field (or equivalent practical experience).
•8+ years in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role.
•Proven track record leading architecture decisions for large-scale enterprise data and AI platforms.
•Hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and platform governance.
•Proficiency in SQL and Python, plus strong understanding of the AI/ML lifecycle and MLOps/model lifecycle management.

Experience:8+ yearsEnterprise dataAIData engineeringMLOps

Education:Bachelor's in computer science, engineering, mathematics, or related field

Skills:Customer leadershipStakeholder influenceMentoringRisk mitigationTechnical advisory

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

Tech Stack:SnowflakeSQLPythonAI/MLMLOpsCortexStreamlit in SnowflakeSnowflake IntelligenceETLData pipelinesData modelingBI toolingSemantic layersLLMAWSGoogle CloudMicrosoft AzureSnowflake SnowPro

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