Sr. Technical Architect

Customer Leadership and Advisory

Lead customer engagements as the primary technical authority, owning architecture decisions and driving measurable outcomes across complex, multi-workstream implementations.
Partner with customer executives and senior technical leadership to define platform strategy, develop long-term roadmaps, and align Snowflake capabilities to business objectives.

Technical Architecture and Delivery

Translate ambiguous business problems into well-defined, scalable technical solutions, with clear delivery paths and risk-mitigation strategies.
Serve as the trusted escalation point for technical challenges within engagements, unblocking delivery teams and resolving architectural issues.
Architect and implement end-to-end AI/ML solutions on Snowflake, setting standards for scalability, performance, security, and operability across the customer's environment.
Define and champion MLOps practices within customer organizations, covering model deployment pipelines, monitoring, governance frameworks, and lifecycle management.
Drive adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architecture leadership and hands-on delivery.
Lead replatforming efforts for complex AI/ML workloads onto Snowflake, coordinating across customer engineering, data science, and platform teams.

Cross-Functional Influence

Act as a bridge between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction.
Mentor and provide technical direction to junior architects and consultants within engagements.
Contribute to the development of reusable architecture patterns, reference implementations, and delivery accelerators for the broader PD organization.

Qualifications

• 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
• Prominent ability to influence senior technical and executive stakeholders and navigate complex organizational dynamics

Bonus Points

• 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)
• 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

Benefits

• Medical, dental, vision, life, and disability insurance
• 401(k) retirement plan
• Flexible spending & health savings account
• at least 12 paid holidays
• paid time off
• parental leave
• employee assistance program
• and other company benefits