Partner with Sales to develop account strategies to grow platform usage.
Establish Lakehouse architecture as standard data architecture via planning.
Build and present reference architectures and demos for prospects.
Capture technical wins by consulting on data architectures, pipelines, and ML.
Promote Databricks open-source projects (Spark, Delta Lake, MLflow) across communities.

🎯 Requirements

3+ years in customer-facing pre-sales/architecting/consulting role with Spark/Hadoop/Kafka.
Big data engineering experience (Spark, Hadoop, Kafka).
Data Warehousing & ETL (SQL, OLTP/OLAP/DSS).
Data Science/ML (pandas, scikit-learn, HPO).
Translate business needs to tech solutions and gain stakeholder buy-in.
Travel to customers up to 30% of the time.

🎁 Benefits

Comprehensive benefits; region-specific details at the benefits site.
Pay transparency and regional pay ranges.
Diversity and inclusion commitment at Databricks.
Benefits details at mybenefitsnow site.

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