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Principal Solutions Architect - Data Engineering

Snowflake · US-NY-New York

Big Tech AIonsiteprincipal$196k–$257k
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At a glance

Highlights

  • Help customers modernize and expand use of Snowflake AI Data Cloud.
  • Take data pipelines from ideation to full production at scale.
  • Pioneer agentic data engineering where AI agents optimize workloads.

Ideal candidate

Low-ego, AI-native data engineering leader energized by reinventing how work gets done. Thrives presenting to executives and builders while pioneering agentic delivery in fast-moving enterprise environments.

Requirements

  • Minimum 5 years in a customer-facing pre-sales or post-sales technical role
  • Outstanding presentation skills for technical and executive audiences
  • Experience with at least one public cloud platform (AWS, Azure or GCP)
  • Experience with a data platform or integration technology such as Databricks, Glue/EMR, Data Factory/Synapse, BigQuery/Dataflow, Informatica or Fivetran
  • Hands-on scripting with SQL and Python, Java or Scala
  • Experience with dbt, Spark/PySpark, Airflow, Kafka, Pandas or similar
  • University degree in computer science, engineering, data science, mathematics or related field, or equivalent experience

Lab profile

About Snowflake

Cloud data platform for storage, analytics, data sharing, and enterprise AI workloads.

What they build

  • Snowflake Data Cloud
  • Data warehousing and data lakes
  • Snowpark developer framework

Known for

  • Elastic scalable cloud architecture
  • Secure governance and data sharing
  • Multi-cloud analytics and AI

Key facts

  • Founded in 2012
  • Headquartered in Bozeman, Montana
  • Public company (NYSE: SNOW)
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