Snowflake delivers the AI Data Cloud to help organizations share data, build apps and power their business with AI.
Senior Technical Architect
Location
Washington
Posted
11 hours ago
Salary
$128K - $168K / year
Seniority
Senior
Job Description
Senior Technical Architect
Snowflake
• 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 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
Job 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
Benefits
- Health insurance
- Remote work flexibility
- Professional development opportunities
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