Customer-facing pre-sales/solution architecture for Databricks in Financial Services
Lead technical discussions, develop architectures, and guide implementations using the Databricks
Collaborate with sales, post-sales, product, and partners to identify use cases
Build reference architectures, how-tos, and demonstrations for customers
Promote open source projects (Apache Spark™, Delta Lake, MLflow, Unity Catalog) in developer
Travel to meet customers within your territory

🎯 Requirements

8+ years in a customer-facing pre-sales or consulting role with big-data tech
Experience designing distributed data systems
Programming in Python, SQL, Scala, Java, or R
Experience with AWS, Azure, or GCP
Experience with Data Engineering tech (Spark, Hadoop, Kafka)
Experience with Data Warehousing tech (SQL, OLTP/OLAP/DSS)

🎁 Benefits

Pay range transparency and region-specific compensation details
Comprehensive benefits; details via regional document

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