Senior Technical Architect

Jobtailor

Austin (TX)

On-site

USD 180,000 - 240,000

Full time

5 days ago

Be an early applicant

Get more replies from employers

Send a job-specific resume in minutes.

Job summary

Jobtailor is seeking a Senior Solutions Architect to lead complex AI/ML deployments on Snowflake from architecture to delivery, partnering with executives to align platform strategy with business goals. You will mentor teams and drive MLOps adoption across data engineering, analytics, and product groups.

You will translate business problems into scalable Snowflake-based solutions, own critical architectural decisions, and ensure governance, performance, and security best practices.

Qualifications

BA/BS in computer science, engineering, mathematics, or 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

Responsibilities

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

Skills

Solutions Architecture

Snowflake Implementation

MLOps Frameworks

SQL Proficiency

AI/ML Lifecycle Understanding

Stakeholder Influence

Mentoring

Problem Solving

Communication

Education

BA/BS in computer science, engineering, mathematics, or related field

Tools

Snowflake

BI Tooling

Streamlit

Snowflake Cortex

AWS

Google Cloud

Microsoft Azure

Job description

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

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

Core Competencies

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