Sr. Technical Architect
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
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
