Sr. Technical Architect

Snowflake • New York, NY

13d • $160,000 - $210,000

About The Position

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done.
We are hiring a Senior Technical Architect for our Services Delivery team. Our SD organization partners with customers across every stage of their data and AI journey, from initial implementation through long-term platform strategy. In this role, you will own the technical delivery and outcome for complex, high-priority engagements, serve as the most senior technical voice in the room, and shape how our customers use Snowflake to drive real business transformation.

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

Nice To Haves

• Hands-on experience with generative AI and large language model (LLM) use cases in production
• Experience building and scaling a Center of Excellence or establishing architectural standards across a large enterprise
• Background in the services organization of a technology product company
• AWS, Google Cloud, or Microsoft Azure Advanced certification(s)
• Snowflake SnowPro Advanced Certification(s)
• Deep industry vertical expertise (e.g., Financial Services, Healthcare, Media and Entertainment)
• Experience as a technical lead on multi-team or multi-vendor delivery programs

Responsibilities

• 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 (Cortex, Streamlit in Snowflake, Snowflake Intelligence) 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

Benefits

• Services Delivery at Snowflake puts you at the intersection of enterprise-scale data architecture and the most important AI transformation work happening in the market today.
• At this level, you'll have real influence, not just over individual engagements, but over how we build and deliver as an organization.
• The problems are genuinely hard, the customers are sophisticated, and the work directly shapes how some of the world's largest companies run their data and AI platforms.
• Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth.
• We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior