Build the future of the AI Data Cloud. Join the Snowflake team.
We are seeking a highly experienced and results-driven AI/ML focused Senior Data Cloud Architect to join our Partner Solution Engineering (PSE) team. Our mission is to empower System Integrator (SI) partners to rapidly achieve technical wins and successful production deployments of AI/ML solutions on the Snowflake AI Data Cloud. Snowflake, the AI Data Cloud, enables teams to seamlessly run analytical workflows, develop agentic apps, and train models using both structured and unstructured data. With over 4,000 customers leveraging our gen AI and ML technology weekly, we are at the forefront of AI innovation. This role is crucial in accelerating AI/ML customer journey technical wins and production deployments being implemented by SI partners.

OUR IDEAL SENIOR DATA CLOUD ARCHITECT - SI PARTNERS WILL HAVE:

• REQUIRED: Experience working at a large System Integrator (SI), with a proven track record of accelerating technical wins and production deployments.
• PLUS: Knowledge of competitive AI/ML platforms and solutions.
• Extensive experience with cloud data platforms, preferably Snowflake.
• Hands-on experience with Cloud ML platforms such as Sagemaker, Azure ML, VertexAI, and/or MLFlow.
• Experience building and deploying ML model pipelines using serverless and containerized computing including AWS Lambda, Azure Functions, Google Cloud Functions, Docker, Kubernetes etc.
• Familiarity with MLOps and CI/CD processes and tools, such as GIT, Azure DevOps, Sagemaker Pipelines, Google Cloud Build
• Experience with developing AI/ML use cases including communicating AI/ML strategy and business value
• Experience using Big Data or Cloud integration technologies such as Matillion, Azure Data Factory, AWS Glue, AWS Lambda, etc.
• Experience in developing and deploying Machine Learning models through the full Data Science life cycle.
• Expertise in data science programming languages including Python, SQL, Scala, and/or Spark.
• Strong experience with major cloud platforms and tooling, especially Azure, AWS, GCP
• Strong CS fundamentals, including proficiency with data structures, algorithms, and distributed systems.
• 5+ years industry experience designing, building and supporting large-scale systems with a minimum of 3 years in a pre-sales role.
• BS/MS/PhD in Computer Science or related majors.
  This role requires a highly motivated and results-driven individual who is passionate about accelerating AI/ML adoption and success for our partners. If you are ready to make a significant impact and drive rapid AI/ML implementation, and possess the required experience at a large System Integrator, we encourage you to apply.
  Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee’s duty to keep customer information secure and confidential.
  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

The following represents the expected range of compensation for this role:

• This role is eligible to participate in Snowflake’s commission plan and it is common for employees in this role to receive total on-target earnings of $207,500 - $288,750. The estimated base salary for this role is $155,625 - $216,562.
• Additionally, this role is eligible to participate in Snowflake’s equity plan.

The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits

• This role is eligible to participate in Snowflake’s commission plan and it is common for employees in this role to receive total on-target earnings of $207,500 - $288,750. The estimated base salary for this role is $155,625 - $216,562.
• Additionally, this role is eligible to participate in Snowflake’s equity plan