Senior Technical Architect

This is a fully remote position, open to applicants in New York.

📋 Description

• Take the lead on customer interactions as the main technical authority, responsible for architectural decisions and measurable outcomes in complex implementations.

• Collaborate with customer executives and senior technical leaders to establish platform strategies and long-term roadmaps.

• Convert vague business challenges into scalable technical solutions, complete with delivery paths and risk mitigation strategies.

• Act as the technical escalation point, facilitating the unblocking of delivery teams and resolving architectural challenges.

• Design and implement comprehensive AI/ML solutions using Snowflake.

• Define and advocate for enterprise MLOps practices, which encompass deployment pipelines, monitoring, governance, and lifecycle management.

• Promote the adoption of Snowflake’s AI product offerings, including Cortex, Streamlit in Snowflake, and Snowflake Intelligence.

• Oversee the replatforming of intricate AI/ML workloads to Snowflake.

• Connect Services Delivery, Go-to-Market, and Snowflake product teams by relaying customer feedback to shape product direction.

• Guide junior architects and consultants through mentorship.

• Create reusable architecture patterns, reference implementations, and delivery accelerators.

⛳️ Requirements

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

• Over 8 years of experience in solutions architecture, technical consulting, data engineering, or a senior customer-facing technical role.

• Proven track record of making architecture decisions for large-scale enterprise data and AI platforms.

• Hands-on experience with Snowflake in a production environment, including data modeling, performance tuning, security design, and platform governance.

• Deep understanding of the data analytics stack, which includes ETL, data pipelines, data platform architecture, BI tools, and semantic layers.

• Familiarity with the AI/ML lifecycle, covering data preparation, feature engineering, model training, deployment, monitoring, and governance.

• Proficient in SQL and Python, including the ability to produce and review production-quality code.

• Experience in designing and implementing enterprise-scale MLOps frameworks and managing model lifecycles.

• Capability to influence senior technical and executive stakeholders while navigating complex organizational dynamics.

• Experience with generative AI and LLM production, advanced cloud certifications, Snowflake SnowPro Advanced Certification, industry expertise, and multi-team or multi-vendor delivery experience are considered additional qualifications.

🏝️ Benefits

• Salary and benefits information is available on the Snowflake Careers Site for positions located in the United States.

• Equal employment opportunity protections are provided.

• Voluntary self-identification and confidential handling of demographic, veteran, and disability information are assured.