Design and build reference architectures; productionalize customer use cases.
Scope professional services with engagement managers; input from customer.
Guide strategic customers on end-to-end big data projects: design, build, deploy.
Consult on architecture; bootstrap or implement projects to drive Databricks adoption.
Provide escalated support for customer operational issues.
Collaborate with Databricks team to deliver engagement components.

🎯 Requirements

6+ years in data engineering, data platforms & analytics.
Proficient in Python or Scala.
Cloud experience: AWS, Azure or GCP; proven in at least one.
Deep Apache Spark experience and Spark runtime internals.
CI/CD for production deployments; familiarity with MLOps.
Travel ~20%; Databricks Certification.

🎁 Benefits

Pay transparency policy.
Comprehensive benefits; visit mybenefitsnow.com/databricks.
Commitment to diversity and inclusion.
Compliance and corporate guidelines.

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