Why This Job is Featured on The SaaS Jobs
This Senior Data Platform Architect role sits at a key intersection in modern SaaS: cloud data platforms, enterprise adoption, and technical validation during complex buying cycles. Positioned within Applied Field Engineering, it reflects how leading SaaS vendors operationalise deep architecture expertise to translate platform capabilities into real customer designs across data warehouse, lake, and engineering workloads.
For a SaaS career, the value is in developing a repeatable approach to multi-cloud reference architectures, technical storytelling, and proof-of-concept rigor that applies across many platform companies. The work naturally builds fluency in competitive landscapes and adjacent tooling, while strengthening the ability to connect executive-level outcomes to implementation details, a durable skill set in SaaS environments where product differentiation is often proven hands-on.
This role best suits professionals who enjoy switching between whiteboard architecture and stakeholder conversations, and who prefer work that is both consultative and technically grounded. It will appeal to those who like variety across industries and use cases, and who are motivated by mastering how enterprise SaaS platforms are evaluated, adopted, and expanded in real-world ecosystems.
The section above is editorial commentary from The SaaS Jobs, provided to help SaaS professionals understand the role in a broader industry context.
Job Description
Snowflake is about empowering enterprises to achieve their full potential — and people too. With a culture that’s all in on impact, innovation, and collaboration, Snowflake is the sweet spot for building big, moving fast, and taking technology — and careers — to the next level.
Our Sales Engineering organization is seeking a Data Platform Architect to join our Applied Field Engineering team who can provide leadership in working with both technical and business executives in the design and architecture of the Snowflake Cloud Data Platform as a critical component of their enterprise data architecture and overall ecosystem. In this role you will work directly with the sales team and channel partners to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value-based demonstrations, support enterprise Proof of Concepts, and ultimately close business. You will leverage your expertise, best practices and reference architectures highlighting Snowflake’s Cloud Data Platform capabilities across Data Warehouse, Data Lake, and Data Engineering workloads. You are equally comfortable in both a business and technical context, interacting with executives and talking shop with technical audiences.
IN THIS ROLE YOU WILL GET TO:
Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
Work hands-on with prospects and customers to demonstrate and communicate the value of Snowflake technology throughout the sales cycle, from demo to proof of concept to design and implementation
Immerse yourself in the ever-evolving industry, maintaining a deep understanding of competitive and complementary technologies and vendors and how to position Snowflake in relation to them
Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
5+ years of architecture and data engineering experience within the Enterprise Data space
5+ years experience within a pre-sales environment
Outstanding presenting skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
Broad range of experience within large-scale Database and/or Data Warehouse technology, ETL, analytics and cloud technologies. For example, Data Lake, Data Mesh, Data Fabric
Hands on Development experience with technologies such as SQL, Python, Pandas, Spark, PySpark, Hadoop, Hive and any other Big data technologies
Ability to connect a customer’s specific business problems and Snowflake’s solutions
Ability to do deep discovery of customer’s architecture framework and connect those with Snowflake Data Architecture.
Must have some prior knowledge of Data Engineering tools for ingestion, transformation and curation
Familiarity with real-time or near real time use cases (ex. CDC) and technologies (ex. Kafka, Flink) and deep understanding of integration services and tools for building ETL and ELT data pipelines and its orchestration technologies such as Matillion, Fivetran, Airflow, Informatica, etc..
Strong architectural expertise in data engineering to confidently present and demo to business executives and technical audiences, and effectively handle any impromptu questions
Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred
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 7, 2026. 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
