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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).
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Tech stack

SnowflakeSQLPythonPandasSparkApache KafkaApache FlinkFivetran

Match insights

Tech:Snowflake, SQL, Python, Pandas, Spark
Level:Senior
Location:United States