Lead technical engagements for customers and own discovery, solution design, and platform demos.
Build proofs-of-concept and live demos to drive Databricks adoption.
Manage frontline customer relationships with engineers, data teams, and leads.
Collaborate with Account Executive to develop technical strategies to grow usage.
Show Databricks differentiation through hands-on demonstrations.

🎯 Requirements

4+ years in data engineering, solutions architecture, pre-sales, or hands-on consulting.
Proficient in Python and PySpark; production-quality code; live coding in interviews.
Hands-on data solutions on AWS, Azure, or GCP.
Working knowledge of Spark, Delta Lake, Hadoop, Kafka, Flink.
Experience leading technical customer conversations — discovery, whiteboarding, architecture
Familiarity with data engineering, ML, or SQL analytics.

🎁 Benefits

Benefits details available for your region.

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