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. Serve as the primary technical authority—leading architecture decisions, advising executives on platform strategy, and translating ambiguous business needs into scalable solutions. Architect and implement end-to-end AI/ML and MLOps on Snowflake, drive adoption of AI offerings, and lead replatforming efforts. Influence product direction and mentor junior architects within Services Delivery.

Location: District of Columbia

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 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 with standards for scalability, performance, security, and operability.
•Define and champion MLOps practices, including model deployment pipelines, monitoring, governance frameworks, and lifecycle management.
•Mentor junior architects and contribute reusable architecture patterns, reference implementations, and delivery accelerators.

Pay and Benefits

Salary: USD 160,000 - 210,000 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 on large-scale enterprise data and AI platforms.
•Deep hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and governance.
•Proficiency in SQL and Python, plus strong grasp of the AI/ML lifecycle (including MLOps and model lifecycle management).

Experience:Data engineeringEnterprise dataAI/MLMLOpsServices delivery

Education:Bachelor's

Skills:Customer leadershipAdvisoryStakeholder influenceRisk mitigationMentoring

Certifications:AWS Advanced certificationSnowflake SnowPro Advanced Certification

Tech Stack:SnowflakeSQLPythonAI/MLMLOpsCortexStreamlit in SnowflakeSnowflake IntelligenceETLData pipelinesData modelingBI toolingSemantic layersGenerative AILLMsAWSGoogle CloudMicrosoft Azure

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: District of Columbia

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 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 with standards for scalability, performance, security, and operability.
•Define and champion MLOps practices, including model deployment pipelines, monitoring, governance frameworks, and lifecycle management.
•Mentor junior architects and contribute reusable architecture patterns, reference implementations, and delivery accelerators.

Pay and Benefits

Salary: USD 160,000 - 210,000 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 on large-scale enterprise data and AI platforms.
•Deep hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and governance.
•Proficiency in SQL and Python, plus strong grasp of the AI/ML lifecycle (including MLOps and model lifecycle management).

Experience:Data engineeringEnterprise dataAI/MLMLOpsServices delivery

Education:Bachelor's

Skills:Customer leadershipAdvisoryStakeholder influenceRisk mitigationMentoring

Certifications:AWS Advanced certificationSnowflake SnowPro Advanced Certification

Tech Stack:SnowflakeSQLPythonAI/MLMLOpsCortexStreamlit in SnowflakeSnowflake IntelligenceETLData pipelinesData modelingBI toolingSemantic layersGenerative AILLMsAWSGoogle CloudMicrosoft Azure

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