Senior Technical Architect

Snowflake

Senior Technical Architect delivering enterprise AI/ML and data platforms on Snowflake. Leading architecture, MLOps, replatforming, and executive customer advisory for complex transformations.

Posted 8/15/2026full-timeAustin • Texas • 🇺🇸 United StatesSenior💰 $136,000 - $178,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in architecting and implementing end-to-end AI/ML solutions on Snowflake, with a strong focus on MLOps practices, data engineering, and technical leadership. Proven ability to influence stakeholders and drive complex implementations while mentoring junior team members.

Highest-signal resume keywords

Solutions ArchitectureSnowflake ImplementationMLOps FrameworksSQL ProficiencyAI/ML Lifecycle Understanding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data EngineeringAI/ML Solutions ArchitecturePerformance TuningData ModelingETLData PipelinesModel TrainingDeploymentMonitoringGovernance

Soft Skills

Stakeholder InfluenceMentoringProblem SolvingCollaborationCommunication

Tools & Technologies

SnowflakeAWSGoogle CloudMicrosoft AzureStreamlitSnowflake CortexBI Tooling

Certifications & Qualifications

Snowflake SnowPro Advanced CertificationAWS CertificationGoogle Cloud CertificationMicrosoft Azure Certification

Industry Keywords

Enterprise Data PlatformsAI PlatformsTechnical ConsultingCustomer EngagementArchitecture Decisions

Tech Stack

Tools & technologies

AWSAzureCloudETLGoPythonSQL

About the role

Key responsibilities & impact

Lead customer engagements as the primary technical authority, owning architecture decisions and measurable outcomes across complex implementations
Partner with executives and senior technical leaders to define platform strategy, long-term roadmaps, and business alignment
Translate ambiguous business problems into scalable technical solutions with delivery paths and risk mitigation
Serve as the technical escalation point, unblocking delivery teams and resolving architectural issues
Architect and implement end-to-end AI/ML solutions on Snowflake
Define and champion enterprise MLOps practices, including deployment pipelines, monitoring, governance, and lifecycle management
Drive adoption of Snowflake Cortex, Streamlit in Snowflake, and Snowflake Intelligence
Lead replatforming of complex AI/ML workloads onto Snowflake
Coordinate across customer engineering, data science, and platform teams
Bridge Services Delivery, Go-to-Market, and Snowflake product teams
Channel customer feedback to influence product direction
Mentor junior architects and consultants
Develop reusable architecture patterns, reference implementations, and delivery accelerators

Requirements

What you’ll need

BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience
8+ years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role
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 understanding of the data analytics stack, including ETL, data pipelines, data platform architecture, BI tooling, and semantic layers
Understanding of the AI/ML lifecycle, including data preparation, feature engineering, model training, deployment, monitoring, and governance
Proficiency in SQL and Python
Ability to produce and review production-quality code
Experience designing and implementing enterprise-scale MLOps frameworks and model lifecycle management
Ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics
Generative AI and LLM production experience is a bonus
AWS, Google Cloud, or Microsoft Azure advanced certifications are a bonus
Snowflake SnowPro Advanced Certification is a bonus
Other bonus qualifications include Center of Excellence development, technology product company services experience, industry expertise, and multi-team or multi-vendor delivery leadership

Benefits

Comp & perks

Bonus and equity plan eligibility
Medical insurance
Dental insurance
Vision insurance
Life insurance
Disability insurance
401(k) retirement plan
Flexible spending account
Health savings account
At least 12 paid holidays
Paid time off
Parental leave
Employee assistance program
Other company benefits