Senior PS Sales Solutions Architect

Job Overview At Snowflake, we are powering the era of the agentic enterprise. 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, fast‑moving environments and move with an experimental mindset – rapidly testing emerging capabilities to discover simpler, more powerful ways to deliver results. Your role is not just to execute a function, but to help redefine the future of how work gets done. We are looking for a Senior PS Sales Solutions Architect to join our Professional Services team. In this role there will be equal focus on selling Snowflake Professional Services engagements and delivering sold/billable engagements. You must be a hands‑on, self‑starter who loves solving innovative problems in a fast‑paced, agile environment. The ideal candidate will connect specific business problems with Snowflake’s solution, confidently communicating that connection and vision to technical and executive audiences. Location: Los Angeles, San Francisco, Seattle Responsibilities 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 and 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 (LinkedIn, 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 toward 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. Qualifications 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 the 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 like Sagemaker, DBx, or Azure ML. Additionally, candidate must have familiarity with common ML supporting libraries (sklearn, xgboost, pytorch, pandas, etc.). Software development experience with Python, Java, Spark and other scripting languages. Proficiency in implementing data security measures, access controls, and design within the Snowflake platform. Internal and/or external consulting experience. Impeccable communication skills – written, visual and oral. Capable of comfortably engaging audiences from hands‑on technologists through C‑suite executives. Bonus Points Big 5 Consulting experience. Experience selling or supporting the sales process of technical services at the enterprise level. Experience with non‑relational platforms and tools for large‑scale data processing (e.g., Hadoop, HBase). Familiarity and experience with common BI and data exploration tools (e.g., Microstrategy, Looker, Tableau). OLAP data modeling and data architecture experience. Expertise in a core vertical such as Financial Services, Retail, Media & Entertainment, Healthcare, Life‑Sciences, etc. Current certifications in any of the following areas: cloud provider (AWS, Azure, GCP) technologies, cloud data technologies (Redshift, BigQuery, Synapse, Fabric, Snowflake, Databricks, etc.), cloud networking and security, data governance, ELT tools and BI/presentation layer tools. Confidentiality and Security 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. Compensation & Benefits The estimated base salary range for this role is $166,000 – $218,400. Additionally, this role is eligible to participate in Snowflake’s bonus and 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. #J-18808-Ljbffr Snowflake