Senior Technical Architect

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

📋 Description

• Act as the primary technical authority leading customer engagements, making architecture decisions and ensuring measurable outcomes for complex, multi-workstream implementations.

• Collaborate with customer executives and senior technical leaders to establish platform strategy, develop long-term roadmaps, and align Snowflake capabilities with business goals.

• Convert vague business challenges into scalable technical solutions with defined delivery paths and risk-reduction strategies.

• Function as the technical escalation point to assist delivery teams by removing obstacles and resolving architectural challenges.

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

• Establish standards for scalability, performance, security, and operability across customer environments.

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

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

• Oversee the replatforming of complex AI/ML workloads onto Snowflake.

• Coordinate efforts among customer engineering, data science, and platform teams.

• Connect Services Delivery, Go-to-Market, and Snowflake product teams.

• Relay customer feedback to guide product development.

• Mentor junior architects and consultants.

• Contribute to reusable architecture patterns, reference implementations, and delivery accelerators.

⛳️ Requirements

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

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

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

• Extensive hands-on experience implementing Snowflake in production settings, covering data modeling, performance optimization, security design, and platform governance.

• Expert-level knowledge of the data analytics stack, including ETL, data pipelines, data platform architecture, BI tools, and semantic layers.

• Strong comprehension of the AI/ML lifecycle, including data preparation, feature engineering, model training, deployment, monitoring, and governance.

• Proficient in SQL and Python.

• Capable of producing and reviewing production-quality code.

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

• Ability to influence senior technical and executive stakeholders while navigating complex organizational structures.

• Hands-on experience with generative AI and LLM use cases in production is a plus.

• Experience in building or scaling a Center of Excellence or establishing enterprise architectural standards is advantageous.

• Background in a technology product company's services organization is beneficial.

• Advanced certifications in AWS, Google Cloud, or Microsoft Azure are advantageous.

• Snowflake SnowPro Advanced Certifications are a plus.

• In-depth industry vertical expertise is a bonus.

• Experience as a technical lead on multi-team or multi-vendor delivery programs is an asset.

🏝️ Benefits

• Eligibility for bonus and equity plans.

• Medical insurance coverage.

• Dental insurance coverage.

• Vision insurance coverage.

• Life insurance coverage.

• Disability insurance coverage.

• 401(k) retirement plan.

• Flexible spending account.

• Health savings account.

• At least 12 paid holidays.

• Paid time off.

• Parental leave.

• Employee assistance program.

• Additional company benefits.