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: 3 hours agoStatus: Live

Job Summary

Own end-to-end 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, and turning ambiguous problems into scalable solutions. Architect and implement AI/ML solutions on Snowflake, define MLOps practices, drive adoption of Snowflake’s AI suite, and coordinate replatforming efforts while mentoring junior architects.

Location: Toronto

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 multi-workstream implementations.
•Partner with customer executives and senior technical leaders to define platform strategy, develop long-term roadmaps, and align 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 contributing reusable delivery patterns.

Pay and Benefits

Salary: CAD 179,700 - 229,700 annually

Key Requirements

•BA/BS in computer science, engineering, mathematics, or a 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.
•Deep hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and platform governance.
•Proficiency in SQL and Python, plus experience designing and implementing MLOps frameworks at enterprise scale.

Experience:8+ yearsData engineeringEnterprise dataAI/ML

Education:Bachelor's

Skills:Customer leadershipStakeholder managementTechnical mentoringProblem-solvingRisk mitigation

Certifications:AWS Advanced certification(s)Snowflake SnowPro Advanced Certification(s)

Tech Stack:SnowflakeSQLPythonETLData pipelinesBI toolingSemantic layersCortexStreamlit in SnowflakeSnowflake IntelligenceMLOps

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: 3 hours agoStatus: Live

Job Summary

Location: Toronto

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 multi-workstream implementations.
•Partner with customer executives and senior technical leaders to define platform strategy, develop long-term roadmaps, and align 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 contributing reusable delivery patterns.

Pay and Benefits

Salary: CAD 179,700 - 229,700 annually

Key Requirements

•BA/BS in computer science, engineering, mathematics, or a 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.
•Deep hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and platform governance.
•Proficiency in SQL and Python, plus experience designing and implementing MLOps frameworks at enterprise scale.

Experience:8+ yearsData engineeringEnterprise dataAI/ML

Education:Bachelor's

Skills:Customer leadershipStakeholder managementTechnical mentoringProblem-solvingRisk mitigation

Certifications:AWS Advanced certification(s)Snowflake SnowPro Advanced Certification(s)

Tech Stack:SnowflakeSQLPythonETLData pipelinesBI toolingSemantic layersCortexStreamlit in SnowflakeSnowflake IntelligenceMLOps

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