Partner with Sales to grow platform usage at assigned accounts.
Establish Lakehouse as the standard data architecture.
Build/present reference architectures and demos for prospects.
Consult on big data, data engineering, ML projects; validate cloud integrations.
Promote Databricks open-source projects (Spark, Delta Lake, MLflow, Koalas).
Travel up to 50% to customer sites.

🎯 Requirements

4+ years in customer-facing pre-sales, architecture, or consulting.
Big data engineering: Spark, Hadoop, Kafka.
Data warehousing and ETL (SQL, OLTP/OLAP/DSS).
Data science and ML (pandas, scikit-learn, HPO).
Data applications (logs analysis, real-time systems).
Fluent in SQL and database tech; debugging in Python/Scala/Java/R.

🎁 Benefits

Comprehensive benefits and regional details via provided link.

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