Sr. Technical Architect

Snowflake
New York, Boston
Workplace: RemoteFull timeUSD 160,000 - 210,000 annuallyFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Customer leadership","Stakeholder influence","Problem-solving","Mentoring","Delivery leadership"]

Own technical delivery and outcomes for complex, high-priority customer engagements across the data and AI journey. Serve as the primary technical authority, translating ambiguous business problems into scalable architectures, driving measurable transformation, and escalating complex technical issues. Architect and implement end-to-end AI/ML solutions on Snowflake, lead MLOps standards and replatforming efforts, and help drive adoption of Cortex, Streamlit in Snowflake, and Snowflake Intelligence.

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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: 10 hours agoStatus: Live

Job Summary

Own technical delivery and outcomes for complex, high-priority customer engagements across the data and AI journey. Serve as the primary technical authority, translating ambiguous business problems into scalable architectures, driving measurable transformation, and escalating complex technical issues. Architect and implement end-to-end AI/ML solutions on Snowflake, lead MLOps standards and replatforming efforts, and help drive adoption of Cortex, Streamlit in Snowflake, and Snowflake Intelligence.
Location: New York, Boston
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.
  • •Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability.
  • •Define and champion MLOps practices (deployment pipelines, monitoring, governance, and model lifecycle management) within customer organizations.
  • •Drive adoption of Snowflake’s AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery.
  • •Mentor junior architects and consultants and develop reusable architecture patterns, reference implementations, and delivery accelerators.

Pay and Benefits

Salary: USD 160,000 - 210,000 annually

Key Requirements

  • •8+ years of experience 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 platform governance.
  • •Expert knowledge of the data analytics stack (ETL, data pipelines, platform architecture, BI tooling, semantic layers).
  • •Proficiency in SQL and Python, including producing and reviewing production-quality code and leading AI/ML lifecycle implementation.
  • •Ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics.
Experience:8+ yearsEnterprise dataAI/MLData engineeringTechnical consulting
Education:Bachelor's in computer science, engineering, mathematics, or related field
Skills:Customer leadershipStakeholder influenceProblem-solvingMentoringDelivery leadership
Certifications:AWS Advanced certificationGoogle Cloud Advanced certificationMicrosoft Azure Advanced certificationSnowflake SnowPro Advanced Certification
Tech Stack:SnowflakeAI/MLCortexStreamlit in SnowflakeSnowflake IntelligenceMLOpsSQLPythonETLData pipelinesBI toolingModel deployment pipelinesMonitoringGovernance frameworksAWSGoogle CloudMicrosoft AzureGenerative AILLMs

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