Related skills
azure java aws python gcp📋 Description
- Guide the technical evaluation phase in a hands-on sales cycle.
- Advise sales teams and advocate for customers.
- Help customers achieve data-driven outcomes with the Databricks Lakehouse Platform.
- Grow as a leader while solving big data, analytics, data engineering and data science problems.
- Report to the Manager of Field Engineering.
- Lead workshops, seminars and meet-ups with the technical community.
- Build relationships with clients alongside the Account Executive to deliver value.
🎯 Requirements
- Pre-sales or post-sales experience with external clients across industries.
- Strong customer-facing pre-sales/consulting with data engineering or data science focus.
- Experience presenting and whiteboarding technical concepts.
- Experience designing architectures in public clouds (AWS, Azure or GCP).
- Big Data tech: Spark, AI, Data Science, Data Engineering, Hadoop, Cassandra.
- Fluent coding in Python or Scala for Spark; Java and R desirable.
- Experience working with Enterprise Accounts.
- Fluent in Japanese and English.
🎁 Benefits
- Regional benefits at https://www.mybenefitsnow.com/databricks
- Inclusive, diverse culture.
- Global offices and data-driven work.
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