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Specialist Architect - Data Engineering/ML

Snowflake

Salary not specified
Sep 3, 2025
Remote, TX, US
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Snowflake is looking for people who have a strong background in data engineering and cloud architecture to join their Professional Services team and be the technical seller for exciting new offerings and capabilities for their customers.

Requirements

  • Minimum 5 years experience working with customers in a pre-sales or post-sales technical role.
  • Thorough understanding of the complete Data Engineering life-cycle
  • Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
  • Experience with Databricks/Apache Spark
  • Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
  • Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.
  • Experience with Snowflake Snowpark

Responsibilities

  • Be a technical expert on all aspects of Snowflake in relation to data engineering workloads.
  • Work with Professional Services Practice Directors and Managers on sales pursuits to: Understand customer requirements, Present high level architecture solutions using Snowflake, Scope and present project plans and effort estimates to deliver data engineering solutions
  • Consult with customers in sales workshops where needed using SQL, Python, Java and/or Scala to understand their data engineering workload / use case.
  • Understand best practices related to Snowflake data engineering capabilities.
  • Maintain deep understanding of competitive and complementary technologies and vendors within the data engineering space, and how to position Snowflake in relation to them
  • Understand our partner system relationships in order to properly position them in the scoping and delivery of data engineering use cases.
  • Provide guidance on how to resolve customer-specific technical challenges.

Other

  • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
  • University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience
  • Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data.
  • Snowflake employees must abide by the company’s data security plan as an essential part of their duties.
  • It is every employee’s duty to keep customer information secure and confidential.