Design and build reference architectures; productionize customer use cases.
Scope professional services with engagement managers and customer input.
Guide strategic customers through end-to-end big data and AI projects.
Consult on architecture and design; bootstrap hands-on projects to drive Databricks adoption.
Provide escalated support for customer operational issues.
Collaborate with Databricks teams to ensure components meet customer needs.

🎯 Requirements

9+ years of data engineering, data platforms & analytics.
Proficiency in Python or Scala.
Two+ cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
Deep experience with Apache Spark and Spark runtime internals.
Familiarity with CI/CD for production deployments.
Working knowledge of MLOps.

🎁 Benefits

Comprehensive, region-specific benefits; details at the provided link.
Commitment to diversity and inclusion.
Compliance and ethical standards in the workplace.

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