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Data Architect

Israel - Ramat-Gan · Full-time · Senior

About The Position

We are looking for a Data Architect who is a real technology leader, to join our Data/Architecture family at Elementor.

As a Data Architect, you will lead Elementor's data processing strategy, technology, data modeling, and end-to-end data integration in the company.

You’ll work closely with Data Scientists, Data Analysts, Engineers, and Product Managers to solve challenging problems and implement state-of-the-art data analytics capabilities.

This is a unique opportunity to take an active role at a fast-growing company in a highly agile environment.

Work Environment

Elementor is the leading website building platform for professionals using WordPress. Our users are web creators - developers, designers, and marketers, who create a new website every 10 seconds. 

Since launching in Israel in 2016, our reach now extends to more than 180 countries, with users building over 8M websites powered by Elementor. Elementor based websites now comprise 5% of all websites (yes, 5%!!!).


  • Lead end-to-end data integration in the company
  • Design highly scalable data platform for diversified and complex data flows
  • Guide our development teams by setting technical directions and providing standards, architectural governance, design patterns, and practices
  • Influence our product roadmap strategy and coordinate it with the architectural vision
  • Develop new technologies, best practices, architectural vision, strategy, and principles
  • Define system architectures and guide engineering teams on architectural and development best practices
  • Conduct POCs to experiment with various technologies, tools, and platforms in order to find the best solutions from a technological, operational, and business perspective
  • Educate and support development teams to help them resolve complex issues
  • Interact extensively with technology and business stakeholders in the company


  • 10+ years of experience in software development and data architecture
  • Strong knowledge of Big Data, databases RDBMS and NoSQL etc
  • Data streaming, Apache Spark, Databricks, Kafka and cloud-native technologies like Kubernetes
  • Experience with conceptual and logical data modeling (relational and dimensional)
  • Ability to design data ecosystems including data stores (operational systems, data lakes, data warehouses, data marts) and hands-on experience with Python
  • Deep understanding of enterprise-grade system design including scalability, performance, security, resiliency, high availability, disaster recovery and monitoring.
  • The ability to adjust technical communication to any level from Executives to Software Engineers
  • Machine learning architecture and analytics tools - Nice to have

Apply for this position