Principal Data Platform Architect - Data Engineering, Applied Field Engineering

Snowflake Snowflake · Data AI · CO, United States · Remote · Sales

Snowflake is seeking a Principal Solutions Architect with Data Engineering expertise for their Applied Field Engineering team. This role involves providing technical leadership in designing and architecting the Snowflake Cloud Data Platform for enterprise clients. Responsibilities include working with sales teams, understanding customer needs, delivering compelling demonstrations, supporting Proof of Concepts, and closing business. The role requires expertise in data ingestion, transformation, and lakehouse workloads, with comfort in both business and technical contexts.

What you'd actually do

  1. Apply your multi-cloud data architecture expertise while presenting Snowflake technology and vision to executives and technical contributors at strategic prospects, customers, and partners
  2. 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
  3. 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
  4. Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Skills

Required

  • multi-cloud data architecture
  • data ingestion
  • data transformation
  • lakehouse workloads
  • SQL
  • Python
  • Pandas
  • Spark
  • PySpark
  • Hadoop
  • Hive
  • data integration services
  • ETL
  • ELT data pipelines
  • streaming technologies
  • Kafka
  • Flink
  • Spark Streaming
  • Kinesis
  • CDC
  • data lakehouse architectures
  • Iceberg
  • Delta
  • Parquet
  • data engineering

Nice to have

  • Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience

What the JD emphasized

  • 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…)