Senior PS Sales Solutions Architect

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 looking for a Senior Professional Services Solutions Architect to be part of our Professional Services team. In this role there will be equal focus on both the process of selling Snowflake Professional Services engagements as well as the delivery of sold/billable engagements. This person must be a hands‑on, self‑starter who loves solving innovative problems in a fast‑paced, agile environment.

The ideal candidate will have the insight to connect a specific business problem and Snowflake’s solution, confidently communicating that connection and vision to technical and executive audiences.

Dallas, Texas OR Chicago, IL

• Present Snowflake technology and vision to executives and technical contributors to customers.
• Position yourself as a Trusted Advisor to key customer stakeholders with a focus on achieving their desired Business Outcomes.
• Partner with Professional Services Practice Directors and Practice Managers to identify, iterate and scope proposals and Statements of Work, both for packaged services as well as custom Time and Materials projects.
• Collaborate with Snowflake sales executives and account teams on opportunity development and overall account strategy.
• Build trust and confidence in Snowflake Professional Services through the delivery of on-site technical/use‑case workshops, leadership of video conference meetings, assistance with deep‑dive technical issues or questions and public‑facing evangelism (Linked In, Medium, etc.) of Snowflake.
• Collect and communicate common themes and questions from customer meetings to inform delivery teams on the evolving services landscape, identifying opportunities to build new and/or evolve existing packaged service offerings.
• Drive project teams towards common goals of accelerating the adoption of Snowflake solutions.
• Demonstrate and communicate the value of Snowflake technology throughout paid engagements, from demo to proof of concept to running workshops, design sessions and implementation with customers and stakeholders.
• Create repeatable processes and documentation as a result of customer engagement.
• Create and collaborate on industry‑based solutions that are relevant to other customers in order to drive more value out of Snowflake.
• Follow best practices, including ensuring knowledge transfer so that customers are correctly enabled and can extend the capabilities of Snowflake on their own.
• Maintain a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them.

• University degree in computer science, engineering, mathematics or related fields, or equivalent experience.
• Minimum 5 years of experience as a solutions architect, data architect, database administrator, or data engineer.
• Minimum 2 years of practical Snowflake experience, leading or participating in services engagements.
• Minimum 2 years of practical experience with at least one of the three major cloud providers (AWS, Azure or GCP).
• Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools.
• Hands‑on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI).
• Either extensive knowledge of and experience with large‑scale database technology (e.g., Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.) along with data science/AI/ML use cases and workloads, OR;
• Experience with AI/ML model development and relevant tools…