Sr. Technical Architect

Snowflake
New York
Workplace: RemoteFull timeUSD 160,000 - 210,000 annuallyFunction: Software EngineeringEducation: bachelorsSkills: ["Customer leadership","Executive stakeholder influence","Risk mitigation","Mentoring","Cross-functional collaboration"]

Own technical delivery for complex, high-priority customer engagements across their data and AI journey. Serve as the primary technical authority, translate ambiguous business needs into scalable solutions, and act as the trusted escalation point. Architect end-to-end AI/ML solutions on Snowflake, define MLOps practices, and drive adoption of Cortex, Streamlit in Snowflake, and Snowflake Intelligence. Partner with Go-to-Market and product teams to influence roadmap and deliver lasting transformation.

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FursaFursa
Snowflake
Snowflake
4 days ago

Sr. Technical Architect

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Source: Company careers pageValidated by: Fursa AI
Last checked: 9 hours agoStatus: Live
Reposted: similar role first listed 4 weeks ago

Job Summary

Own technical delivery for complex, high-priority customer engagements across their data and AI journey. Serve as the primary technical authority, translate ambiguous business needs into scalable solutions, and act as the trusted escalation point. Architect end-to-end AI/ML solutions on Snowflake, define MLOps practices, and drive adoption of Cortex, Streamlit in Snowflake, and Snowflake Intelligence. Partner with Go-to-Market and product teams to influence roadmap and deliver lasting transformation.
Location: New York
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 implementations.
  • •Partner with customer executives 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 with 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 AI product suite and coordinate replatforming efforts for complex AI/ML workloads; mentor junior architects and consultants.

Pay and Benefits

Salary: USD 160,000 - 210,000 annually

Key Requirements

  • •8+ years 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.
  • •Hands-on experience implementing Snowflake in production, including data modeling, performance tuning, security design, and governance.
  • •Expert understanding of the data analytics stack (ETL/data pipelines, platform architecture, BI tooling, semantic layers).
  • •Proficiency in SQL and Python and experience designing MLOps frameworks for model lifecycle management.
Experience:Enterprise dataArtificial intelligenceMachine learningMLOps
Education:Bachelor's
Skills:Customer leadershipExecutive stakeholder influenceRisk mitigationMentoringCross-functional collaboration
Certifications:AWS Advanced certificationGoogle Cloud Advanced certificationMicrosoft Azure Advanced certificationSnowflake SnowPro Advanced Certification
Tech Stack:SnowflakeCortexStreamlit in SnowflakeSnowflake IntelligenceAI/MLMLOpsSQLPythonETLData pipelinesBI toolingSemantic layersData modelingPerformance tuningSecurity designModel monitoringAWSGoogle CloudMicrosoft AzureGenerative AI

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
WebsiteLinkedIn