Forward Deployed Engineering - Senior Architect

Added
6 days ago
Type
Full time
Salary
Salary not provided

Related skills

aws python gcp scala mlops

๐Ÿ“‹ Description

  • Lead architecture and design decisions for production-grade data, AI, and app solutions on Databricks.
  • Deliver end-to-end implementations: data pipelines, ML/AI models, and user interfaces.
  • Embed with customer teams, ensure value realization and adoption of Databricks.
  • Build reference architectures, data ingestion, and model integration with security and scalability.
  • Work cross-functionally with engineering, product, and customer teams to scope and deliver.
  • Travel to customer sites ~20% of the time.

๐ŸŽฏ Requirements

  • 6+ years experience in data engineering, data platforms & analytics, or software engineering
  • Proficient in Python, Scala, JavaScript/TypeScript
  • Working knowledge of two or more cloud ecosystems (AWS, Azure, GCP) with expertise in at least one
  • Deep experience with distributed computing with Apache Spark and Spark runtime internals
  • Familiarity with CI/CD for production deployments
  • Working knowledge of MLOps, ML/AI models and AI APIs

๐ŸŽ Benefits

  • Comprehensive benefits; regional details available via linked document
  • Collaborative, diverse, and growth-focused culture
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