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
WHY JOIN OUR SERVICES DELIVERY TEAM AT SNOWFLAKE?
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
If you want a senior role where your architectural decisions have organizational impact, where you're constantly working at the edge of what Snowflake can do, and where you're surrounded by people who push each other to get better, this is it
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
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