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aws sql python hadoop kafka📋 Description
- Partner with the sales team to show how Databricks solves business problems
- Provide technical leadership for customers to evaluate and adopt Databricks
- Consult on big data architecture, run PoCs, and validate cloud integrations
- Build and present reference architectures, how-tos, and demos for customers
- Promote open source projects (Spark, Delta Lake, MLflow, Unity Catalog) to communities
- Travel to meet with customers in your territory
🎯 Requirements
- 7+ years in customer-facing pre-sales or consulting role (big data)
- Designing and architecting distributed data systems
- Comfortable programming in Python, SQL, Scala, Java, or R
- Experience with global system integrators or financial services tech a plus
- Experience building solutions with AWS, Azure, or GCP
- Experience with Data Engineering (Spark, Hadoop, Kafka) and Data Warehousing (SQL, OLTP/OLAP/DSS)
🎁 Benefits
- Comprehensive benefits and region-specific details via linked page
- Strong commitment to diversity and inclusion
- Opportunities to work with Databricks' data and AI platform
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