Engineering Manager - Transformation & Data Lake

Snowflake Snowflake · Data AI · WA-Bellevue, United States · Engineering

Engineering Manager for Snowflake's Transformation & Data Lake, focusing on the interoperable metadata and transaction foundation for Lakehouse, including Iceberg tables and catalog integrations. The role involves building core platforms that enable open-format workloads and AI Data Cloud capabilities, with a specific mention of AI-enabled pipeline authoring and streamlining experiences.

What you'd actually do

  1. We design and build a high performance, scalable integration layer that allows Snowflake to interoperate with external catalogs.
  2. We power the next generation of open cataloging within Snowflake through Horizon Catalog.
  3. We are at the forefront of enabling open table formats and cross-platform compatibility, ensuring Snowflake remains a central player in an increasingly interconnected data landscape
  4. The Dynamic Tables Orchestration team builds towards the next-generation of “Unified Pipelines” that ties DTs together with Tasks, Streams, Snowpark, and dbt.
  5. We also build AI-enabled pipeline authoring and streamlining experiences, including prompt-based tuning and data refinement, turning complex platform signals into simple, intuitive workflows for data engineers.

Skills

Required

  • distributed systems
  • multi-cloud architectures
  • open data standards
  • SQL
  • data pipelines

Nice to have

  • Iceberg
  • Snowflake
  • dbt
  • Snowpark

What the JD emphasized

  • AI-native thinkers
  • AI-enabled pipeline authoring