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📋 Description

  • Architect and own the enterprise AI data platform.
  • Ingest, transform, store, and serve data for AI workloads.
  • Define lakehouse, data mesh patterns and versioned contracts.
  • Ensure secure, scalable data lakes and data warehouses.
  • Lead data quality and metadata management across platforms.
  • Collaborate with AI researchers and product teams.

🎯 Requirements

  • 15+ years in hands-on data engineering and architecture.
  • Databricks or Snowflake expertise; both is a plus.
  • Design secure, scalable data lakes, warehouses, data hubs.
  • ETL in Python/Java/Scala.
  • Full data stack ownership: streaming, batch, cloud infra.
  • LLMOps, vector stores, and knowledge graphs.

🎁 Benefits

  • Medical insurance.
  • Dental insurance.
  • Vision insurance.
  • Disability, life, and AD&D insurance.
  • Unlimited PTO.
  • Paid parental leave.
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