Related skills
azure aws python gcp scala📋 Description
- Design and build reference architectures; productionize customer use cases.
- Scope professional services with engagement managers and customer input.
- Guide strategic customers on end-to-end data and AI deployments.
- Consult on architecture; implement projects to drive Databricks adoption.
- Provide escalated support for customer issues.
- Collaborate with Engineering and Support to deliver engagement components.
🎯 Requirements
- Extensive experience in data engineering, data platforms and analytics.
- Comfortable writing code in Python or Scala.
- Cloud knowledge across two or more 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; MLOps knowledge.
- Travel ~10% of the time; Databricks certification preferred but not essential.
🎁 Benefits
- Benefits vary by region; see mybenefitsnow for details.
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