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About the Role

As a Senior Technical Architect on the Services Delivery team, you will own the technical delivery and outcome for complex, high-priority engagements. You will serve as the most senior technical voice, shaping how customers use Snowflake to drive real business transformation and partnering with customers across their data and AI journey.

Responsibilities

• 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.
• 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.
• 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.

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.

Skills

• AI/ML
• Snowflake
• MLOps
• SQL
• Python
• Generative AI
• Large language model (LLM)

Location

• United States

Work Type

• Full-time

Experience Level

• Senior

Education Level

• BA/BS in computer science, engineering, mathematics, or a related field, or equivalent practical experience

About the Company

• Snowflake is powering the era of the agentic enterprise.
• We are hiring AI-native thinkers across every function who are energized by the opportunity to reinvent how they work.
• We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset.
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.