# Principal Solution Engineer

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Unspecified
**Role:** Solutions Architecture
**Experience:** 10+ years
**Skills:** Snowflake, SQL, Python, dbt, Spark, Docker, DevOps, Git, MLOps, LLMs, Machine Learning, Data Warehousing, Data Modeling, Cloud Data Platforms
**Posted:** 2026-06-30

> Serves as a strategic technical advisor to financial-services customers, architecting data and AI solutions while influencing executive technology roadmaps and Snowflake’s product direction. Requires 10+ years of industry experience, strong C-level communication, and deep expertise in modern cloud data platforms and AI/ML.

## Job Description

## Responsibilities
- Present Snowflake's AI Data Cloud technology and strategic vision to C-level executives, translating complex technical capabilities into business value propositions.
- Architect sophisticated data and AI solutions with customer technical teams while communicating business impact and ROI to executive leadership.
- Serve as the primary technical advocate for customers within Snowflake, partnering with product managers and technical executive sponsors to influence the product roadmap.
- Understand customers' business models, competitive landscapes, and strategic priorities to identify opportunities for innovation and market leadership.
- Lead executive briefings, strategic architecture sessions, quarterly business reviews, strategic planning sessions, and board presentations.
- Collaborate with Product Management, Engineering, and executive leadership to improve products based on customer feedback.

## Requirements
- 10+ years of industry experience with significant C-level executive exposure and a proven track record managing large enterprise accounts.
- Proven success in financial services, balancing centralized architecture and engineering needs with organizational business units such as Retail, Business, Institutional, Wealth, and Risk.
- Experience with modern data technologies, including dbt, Spark, containers, DevOps tooling, orchestration tools, and Git.
- Deep expertise in cloud data platforms, AI/ML technologies, LLMs, machine learning pipelines, MLOps, data warehousing, and modern data architecture.
- Hands-on expertise with SQL, Python, and data modeling, with the ability to explain complex technical architectures in business terms.
- Exceptional presentation and communication skills with C-level executives.
- Experience influencing product roadmaps, prioritizing features, and driving customer-centric development.
- Experience conducting executive briefings, board presentations, and strategic planning sessions.
- Strong internal advocacy skills within technology companies, representing customer needs to product and engineering organizations.
- University degree in computer science, engineering, mathematics, or a related field, or equivalent experience preferred.

## Nice to have
- Master's degree in Data Science or Business Administration.
- Experience facilitating C-level strategic planning sessions focused on data and AI strategy.

## Compensation and benefits
- Salary and benefits information is provided on the Snowflake Careers Site for jobs located in the United States.

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