Sr. Technical Architect

Snowflake
Austin
Workplace: RemoteFull timeUSD 136,000 - 178,500 annuallyFunction: Software EngineeringExperience: 8+ yearsEducation: bachelorsSkills: ["Customer leadership","Technical advisory","Problem-solving","Stakeholder influence","Mentoring"]

Own end-to-end technical delivery and architecture decisions for complex, high-priority customer engagements in Snowflake’s Services Delivery team. Lead multi-workstream implementations across the customer’s data and AI journey, translating business problems into scalable solutions. Architect and implement AI/ML solutions on Snowflake, define MLOps practices, drive adoption of Snowflake’s AI product suite, and influence product direction using customer feedback.

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Snowflake
Snowflake
2 days ago

Sr. Technical Architect

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Last checked: 19 hours agoStatus: Live

Job Summary

Own end-to-end technical delivery and architecture decisions for complex, high-priority customer engagements in Snowflake’s Services Delivery team. Lead multi-workstream implementations across the customer’s data and AI journey, translating business problems into scalable solutions. Architect and implement AI/ML solutions on Snowflake, define MLOps practices, drive adoption of Snowflake’s AI product suite, and influence product direction using customer feedback.
Location: Austin
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead customer engagements as primary technical authority, owning architecture decisions and driving 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, establishing standards for scalability, performance, security, and operability.
  • •Define and champion MLOps practices including deployment pipelines, monitoring, governance, and model lifecycle management.
  • •Drive adoption of Snowflake’s AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) and lead replatforming efforts for AI/ML workloads onto Snowflake.

Pay and Benefits

Salary: USD 136,000 - 178,500 annually

Key Requirements

  • •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.
  • •Expert-level understanding of the data analytics stack (ETL, data pipelines, platform architecture, BI tooling, semantic layers) and the AI/ML lifecycle.
  • •Proficiency in SQL and Python, with ability to produce and review production-quality code as part of delivery leadership.
Experience:8+ yearsEnterprise dataAI platformsData engineeringTechnical consultingMLOps
Education:Bachelor's in computer science, engineering, mathematics, or related field
Skills:Customer leadershipTechnical advisoryProblem-solvingStakeholder influenceMentoring
Certifications:AWS Advanced certificationGoogle Cloud Advanced certificationMicrosoft Azure Advanced certificationSnowflake SnowPro Advanced Certification
Tech Stack:SnowflakeSQLPythonAI/MLMLOpsETLCortexStreamlit in SnowflakeSnowflake IntelligenceData pipelinesBI

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