Senior Technical Architect

This is a fully remote position, open to applicants in Illinois, +2 more states.

📋 Description

• Lead customer interactions as the primary technical authority, responsible for architecture decisions and driving measurable outcomes across intricate, multi-workstream implementations.

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

• Convert ambiguous business challenges into clearly defined, scalable technical solutions, complete with defined delivery paths and risk-mitigation strategies.

• Act as the trusted escalation point for technical challenges during engagements, facilitating the unblocking of delivery teams and resolving architectural problems.

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

• Define and 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 leadership and hands-on delivery.

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

• Serve as a liaison between SD delivery, Go-to-Market, and Snowflake product teams, channeling customer feedback to influence product direction.

• Mentor and guide junior architects and consultants within engagements, providing technical direction.

• 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 implementing Snowflake in production environments, including data modeling, performance tuning, security design, and platform governance.

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

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

• Proficient in SQL and Python; capable of producing and reviewing production-quality code as part of delivery leadership.

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

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

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Remote work options