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sql python hadoop kafka spark📋 Description
- Partner with sales to show Databricks value for business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture; implement PoCs; validate cloud integrations
- Build and present reference architectures, how-tos, and demos
- Promote Spark, Delta Lake, MLflow, Koalas across communities via meetups
- Travel to customers in your region
🎯 Requirements
- 6+ years in a customer-facing pre-sales, technical architecture, or consulting role
- Experience designing and architecting distributed data systems
- Comfortable programming in at least one of Python, Scala, Java, SQL, or R
- Experience supporting Public Sector clients
- Have built solutions with public cloud providers such as AWS, Azure, or GCP
- Data Engineering technologies (Spark, Hadoop, Kafka)
🎁 Benefits
- Comprehensive benefits and perks
- Region-specific details via linked doc
- Commitment to diversity and inclusion
- Equal employment opportunity
- Remote-friendly and globally distributed teams
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