Senior Technical Architect

Responsibilities

• Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes
• Partner with customer executives to define platform strategy and long-term roadmaps
• Architect and implement end-to-end AI/ML solutions on Snowflake
• Define and champion MLOps practices, including model deployment pipelines and governance
• Drive adoption of Snowflake's AI product suite including Cortex and Streamlit
• Act as a bridge between delivery, Go-to-Market, and product teams to influence product direction
• Mentor junior architects and consultants

Requirements

• BA/BS in computer science, engineering, mathematics, or related field
• 8+ years of experience in solutions architecture, technical consulting, or data engineering
• Proven track record leading architecture decisions on large-scale enterprise data and AI platforms
• Deep hands-on experience implementing Snowflake in production environments
• Expert-level understanding of the full data analytics stack (ETL, pipelines, BI, semantic layers)
• Strong grasp of the AI/ML lifecycle and MLOps frameworks
• Proficiency in SQL and Python
• Ability to influence senior technical and executive stakeholders

Preferred Qualifications

• Hands-on experience with generative AI and LLM use cases in production
• Experience building a Center of Excellence or establishing architectural standards
• Background in a technology product company services organization
• AWS, Google Cloud, or Microsoft Azure Advanced certifications
• Snowflake SnowPro Advanced Certification
• Deep industry vertical expertise

About the Company

Snowflake is powering the era of the agentic enterprise, helping customers across every stage of their data and AI journey to drive real business transformation.