Principal Data Platform Architect - Data Engineering, Applied Field Engineering
SnowflakeCloud Data company
United StatesSenior
Data & AI
About the role
Provide technical leadership and architect Snowflake data platform solutions to support sales and customer implementation.
- •Senior solutions architect in Applied Field Engineering providing technical leadership for Snowflake cloud data platform across sales cycles, demos, proofs-of-concept, and architecture design.
- •Key Responsibilities Present Snowflake technology and vision to executives and technical stakeholders.
- •Work hands-on with customers for demos, proofs of concept, and implementation guidance.
- •Develop reference architectures across ingestion, transformation, and lakehouse workloads.
- •Collaborate with Product, Engineering, and Marketing to improve offerings.
- •Requirements 10+ years in architecture and data engineering within enterprise data. 5+ years in pre-sales or solutions engineering roles.
- •Hands-on development with SQL, Python, Pandas, Spark/PySpark and big data tools.
- •Experience with ETL/ELT tools (Fivetran, Matillion, Informatica) and streaming technologies (Kafka, Flink, Kinesis).
Tech stack
SnowflakeSQLPythonPandasSparkApache KafkaApache FlinkFivetran
Match insights
Tech:Snowflake, SQL, Python, Pandas, Spark
Level:Senior
Location:United States