Snowflake에서 Senior Technical Architect를 채용합니다. 고객의 데이터 및 AI 여정을 이끄는 핵심 기술 리더로서, Snowflake 플랫폼을 활용한 엔드투엔드 아키텍처 설계와 MLOps 구축을 주도합니다. 8년 이상의 솔루션 아키텍처 및 데이터 엔지니어링 경력과 SQL/Python 역량이 필수입니다. 복잡한 비즈니스 문제를 기술적 솔루션으로 해결하며 고객의 디지털 전환을 이끌어갈 전문가를 찾습니다.
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.
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
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
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
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.
How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
