Ramat Gan, Israel
Full time
Product / R&D

Data Solutions Advocate

Ramat Gan, Israel
Full time

Advocate Varada’s innovative technology to the data world. Act as a consulting domain expert on all outbound activities, represent the “trusted advisor” tone of voice to prospects and customers.

Responsibilities:
  • Help create demos and benchmarks to highlight Varada’s advantage against other cloud data platforms
  • Build and maintain the schemas and query repository and acquire new data and query sets
  • Work with the performance team to check performance on each of the sets
  • Develop highly technical content to support marketing and sales initiatives – brain-storm ideas and execute plans
  • Foster developer / data architect communities and lead creation of new ones
Job Requirements:
  • 3+ years of hands-on experience as a data engineer, big data developer, DataOps, or data architect
  • Deep understanding (execution level) of cloud data platforms, including data warehouse solutions, query engines, SQL 
  • Deep understanding of cloud platforms (AWS, GCP, Azure)
  • Native English level
  • Ability to work independently to achieve goals or set objectives
  • Ability to handle multiple projects with quick turnaround times at the same time
  • Bonus: previous “outbound” experience, such as product marketing, product management, developer relations, etc.
We look forward to hearing from you!
Email us at job@varada.io

AboutVarada

Vara-da comes from an old Hindu word that is used to describe a boon giver, relief for pain. When it comes to data, there are still many types of pain. In some organizations the focus is on data democratization with challenges around exposing data to as many consumers as possible. For other organizations the focus is on enabling data consumers to ask any questions without compromising on time-to-insight and performance.
Varada offers a big data infrastructure solution for fast analytics on thousands of dimensions. Based on Varada’s Inline Indexing™ technology, we enable large and complex datasets to optimally serve analytics users and apps by making filtering, joining and aggregating data extremely fast on every dimension of any data source.
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