The Role The Senior PS Sales Solutions Architect will sell and deliver Snowflake Professional Services by acting as a trusted advisor to clients, leading technical engagements, and creating impactful solutions to drive customer success. Summary Generated by Built In 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. Snowflake Professional Services is the implementation and strategy experts for the Snowflake platform. We engage with customers at all phases of the customer journey to optimize, accelerate, and achieve business outcomes. Our teams of Solutions Architects demonstrate technical leadership everyday by writing code, constructing solution architectures, and guiding customers through decision paths to achieve impactful outcomes. We advise everyone from developers through senior executives on how best to utilize Snowflake to make their business successful. Our Solution Architects are comfortable with change and live on the cutting edge of technology. In this role, you will lead and execute complex migrations from legacy systems to the Snowflake platform. You will collaborate closely with customers and system integrators to understand their requirements, design robust migration strategies, and ensure seamless transitions with minimal disruption. Additionally, you will work with a diverse range of teams both inside and outside the company.

RESPONSIBILITIES

Design comprehensive migration plans and solutions tailored to the customer's needs and architecture, ensuring a seamless transition to Snowflake Partner with our customers, acting as the technical expert for all aspects of Snowflake during implementation Deploy Snowflake following best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own Maintain deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them Work with System Integrator consultants at a deep technical level to successfully position and deploy Snowflake in customer environments Create presentations and document learnings from the project. Develop utilities and accelerators to streamline migration and related activities Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake's products and marketing

MINIMUM QUALIFICATIONS

7+ years of experience working with customers in a pre-sales or post-sales technical role, preferably as a solutions architect Experience migrating from one data platform to another and holistically addressing the unique challenges of migrating to a new platform Hands-on experience working with data warehouse systems including or similar to Snowflake, BigQuery, Teradata, Redshift, Netezza, SAP HANA, Greenplum, Exadata, etc. End-to-end experience migrating on prem data warehouse solutions to the cloud (AWS, Azure, GCP) Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools Extensive hands-on expertise with SQL and SQL analytics and scripting languages like Python, Bash, Shell etc. University degree in computer science, engineering, mathematics or related fields, or equivalent experience

PREFERRED QUALIFICATIONS

3 years of technical consulting experience 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. Power BI, Microstrategy, Business Objects, Tableau) Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, OpenStack, etc.) Experience implementing ETL pipelines using custom, packaged tools and software development experience using C/C++, Java etc. 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. The application window is expected to be open until January 19, 2025. This opportunity will remain posted based on business needs, which may be before or after the specified date. 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 Read Full Description Skills Required 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 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 Hands-on experience in a technical role (SQL, data warehousing, cloud data, analytics, or ML/AI) Extensive knowledge of large-scale database technology (e.g. Snowflake, Netezza, etc.) or experience with AI/ML model development Software development experience with Python, Java, Spark and other Scripting languages Proficiency in implementing data security measures on Snowflake Impeccable communication skills Snowflake Compensation & Benefits Highlights The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Snowflake and has not been reviewed or approved by Snowflake. About This Summary Fair & Transparent Compensation — Pay is widely viewed as competitive and aligned with market value, with "fair pay" and top-tier total compensation frequently cited for engineering and technical roles. Equity Value & Accessibility — Equity and ESPP participation are standout components of total compensation, with robust RSU grants often highlighted as a major advantage, particularly in engineering. Healthcare Strength — Health coverage is described as strong and comprehensive, complemented by wellness resources and related programs. Learn more about Snowflake's Compensation & Benefits → Snowflake Insights What's It Like to Work at Snowflake? Snowflake Culture & Values Snowflake Career Growth & Development What's the Work-Life Balance Like at Snowflake? Snowflake Leadership & Management Snowflake Company Growth, Stability & Outlook View all jobs at Snowflake View Snowflake Profile Report Job