LSports
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Data Architect

Business IntelligenceRamat Gan, IL

About The Position

LSports has positioned itself as the number 1 provider of sports data in the world. On its mission to bring innovation to the industry, the company has mastered sports data collection and analysis, advanced data management, and unique stimulation services such as AI-based sports tips, high-quality sports visualization, and more.

The sports data industry is still growing, and LSports real-time solutions are at the forefront.

If you share our love of sports and tech, you've got the passion and will to better the sports-tech and data industries - join the team! We are looking for a highly motivated Data Architect.


Responsibilities:

  • Build the foundations of data architecture in the company
  • Map the data needs and select the key technologies to support the needs, from databases, ETL tools, statistical tools, orchestrators and data quality monitoring solutions.
  • Build from scratch data infrastructure that will be scalable for rapid growth
  • Lead design reviews for all data solutions, including data analytics and data engineering.
  • Set very high data quality standards and set the processes/tools in place to monitor them

Requirements

  • At least 10 years in a Data engineer position, and at least 2 years experience as a data architect.
  • Excellent proficiency in data modeling.
  • Excellent proficiency in data infrastructure - analytical data warehouses and/or data lake, cloud ETL/ELT, data streaming, orchestrator, data quality monitoring, etc.
  • Excellent proficiency in SQL and Python and/or JavaScript.
  • Experience in data modeling design, developing efficient extracts/streams from multiple sources and large data sets
  • Experience setting a scalable infrastructure for optimized performance, uptime, and costs.
  • Excellent communication skills in English.
  • Fast learning capabilities and proven ability to multitask – working on several projects at a time.
  • Experience building cloud data infrastructure from scratch, including leading the POCs to select the tools – an advantage.
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