Senior Technical Architect

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

📋 Description

• Act as the primary technical authority in customer engagements, taking ownership of architecture decisions and driving measurable results across intricate, multi-workstream implementations.

• Collaborate with customer executives and senior technical leadership to establish platform strategies, create long-term roadmaps, and align Snowflake capabilities with business goals.

• Convert vague business challenges into clearly defined, scalable technical solutions, outlining clear delivery pathways and strategies for risk mitigation.

• Function as the go-to escalation point for technical challenges within engagements, facilitating delivery teams and resolving architectural problems.

• Design and implement comprehensive AI/ML solutions on Snowflake, establishing benchmarks for scalability, performance, security, and operability throughout the customer’s environment.

• Advocate for MLOps practices within customer organizations, encompassing model deployment pipelines, monitoring, governance frameworks, and lifecycle management.

• Promote the adoption of Snowflake's AI product suite (Cortex, Streamlit in Snowflake, Snowflake Intelligence) through architectural guidance and direct delivery involvement.

• Lead replatforming initiatives for complex AI/ML workloads onto Snowflake, coordinating efforts among customer engineering, data science, and platform teams.

• Bridge the gap between SD delivery, Go-to-Market, and Snowflake product teams, relaying customer feedback to influence product development.

• Mentor and offer technical guidance to junior architects and consultants within engagements.

• Contribute to the creation 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.

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

• Proven track record of leading architecture decisions on large-scale, enterprise data and AI platforms.

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

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

• Strong understanding of the AI/ML lifecycle, from data preparation and feature engineering to model training, deployment, monitoring, and ongoing governance.

• Proficiency in SQL and Python, with the ability to produce and review production-quality code as part of delivery leadership.

• Experience in designing and implementing MLOps frameworks and model lifecycle management at an enterprise level.

• Demonstrated ability to influence senior technical and executive stakeholders and manage complex organizational dynamics.

🏝️ Benefits

• Medical

• Dental

• Vision

• Life

• Disability insurance

• 401(k) retirement plan

• Flexible spending & health savings account

• At least 12 paid holidays

• Paid time off

• Parental leave

• Employee assistance program

• Other company benefits