Senior Data Architect, Applied Field Engineering Office

Join to apply for the Senior Data Architect, Applied Field Engineering Office role at Snowflake . 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 Solution Engineering organization is seeking a Data Engineering Specialist to join our Applied Field Engineering team. In this role you will work directly with the sales team to understand the needs of our customers, strategize on how to navigate winning sales cycles, provide compelling value‑based demonstrations, support enterprise proofs of concept, and ultimately close business. You will leverage your expertise, best practices, and reference architectures highlighting Snowflake’s Data Platform capabilities across data ingestion, transformation, and lakehouse workloads. You are equally comfortable in both a business and technical context, interacting with executives and engaging 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 10+ years of architecture and data engineering experience within the Enterprise Data space 5+ years experience within a pre‑sales environment (Sales Engineer, Solutions Engineer, Solutions Architect, etc.) Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos 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 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 Deep understanding of data integration services and tools for building ETL and ELT data pipelines such as Apache NiFi, Matillion, Fivetran, Qlik, or Informatica Familiarity with streaming technologies (ex. Kafka, Flink, Spark Streaming, Kinesis) and real‑time or near real‑time use cases (ex. CDC) Experience designing interoperable data lakehouse architectures and experience working with Iceberg, Delta, and Parquet 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; Master’s Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred 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. If you want to make your impact, visit the Snowflake Careers Site for salary and benefits information. #J-18808-Ljbffr