Collaborate on customer big data projects; create reference architectures and scalable tools.
Advise strategic customers on big data initiatives, migrations, and end-to-end AI apps.
Provide architecture and design expertise; support adoption and integration of Databricks.
Partner with Engineering and Customer Support to deliver feedback and drive improvements.
Manage multiple projects, ensure well-architected principles, mitigate risks, and build trust.

🎯 Requirements

15+ years experience with Big Data tech (Spark™, Kafka) in customer-facing post-sales roles.
6+ years working on Big Data architectures independently.
2+ years AI implementations including RAG, MCP, context engineering.
Strong experience working in the Databricks ecosystem.
Comfortable writing code in Python or Scala.
Experience across GCP, AWS and Azure.

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