Senior Technical Architect

As a Senior Technical Architect at Snowflake, you will lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations. You will partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives. You will translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies.

What You Will Do

You will lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams. You will drive adoption of Snowflake's AI product suite through architecture leadership and hands-on delivery. You will act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction.

Why It Might Be a Fit

You will have real influence, not just over individual engagements, but over how we build and deliver as an organization. The problems are genuinely hard, the customers are sophisticated, and the work directly shapes how some of the world's largest companies run their data and AI platforms.

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
• Demonstrated track record leading architecture decisions on large-scale, enterprise data and AI platforms
• Deep hands-on experience implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance
• Expert-level understanding of the full data analytics stack, from ETL and data pipelines to data platform architecture, BI tooling, and semantic layers
• Strong grasp of the AI/ML lifecycle, from data preparation and feature engineering through model training, deployment, monitoring, and ongoing governance
• Proficiency in SQL and Python; ability to produce and review production-quality code as part of delivery leadership
• Experience designing and implementing MLOps frameworks and model lifecycle management at enterprise scale
• Proven ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics

Benefits

• Salary and benefits information available on the Snowflake Careers Site
• Bonus points for hands-on experience with generative AI and large language model (LLM) use cases in production
• Experience building and scaling a Center of Excellence or establishing architectural standards across a large enterprise
• Background in the services organization of a technology product company
• AWS, Google Cloud, or Microsoft Azure Advanced certification(s)
• Snowflake SnowPro Advanced Certification(s)
• Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment)
• Experience as a technical lead on multi-team or multi-vendor delivery programs