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JFrog Big Data Engineering Lead 
Israel, South District, Beer Sheva 
8520600

27.03.2025

As a

  • Lead the design and development of JFrog’s petabyte-scale Lakehouse and modern data platform, drive architectural decisions, and provide technical leadership to ensure it meets scalability, performance, privacy, and security requirements.
  • Collaborate closely with top-notch engineers in implementation efforts to ensure alignment with architectural vision, tackle tough problems, and deliver creative solutions.
  • Provide hands-on expertise through platform development and conduct architecture proof-of-concepts to validate and recommend tools, technologies, and design decisions.
  • Promote the adoption and utilization of the data platform by collaborating with stakeholders to identify impactful use cases, developing enablement resources, and ensuring the platform delivers measurable business value.
  • Evaluate and recommend tools and technologies to support & proliferate Data & AI-driven decision-making and make data production and consumption widespread.
  • Bachelor’s or master’s in computer science, Data Science, Machine Learning, or a related field, or equivalent industry experience, is required.
  • 8+ years of experience in data engineering, or a related role, preferably in large-scale, complex environments, including prior experience as a software engineer.
  • Strong knowledge of big data technologies and data pipeline tools such as Kafka, Airflow, SPARK, ICEBERG, Presto and cloud-native services. Proficiency in programming languages such as Python, Java, or Scala.
  • Demonstrated success in leading major data initiatives, including building data architectures from the ground up.
  • Strong understanding of the intersection between software and data engineering, with experience in designing systems to meet complex and evolving data requirements.
  • Excellent communication, presentation, and stakeholder engagement skills, with the ability to work cross-functionally, convey complex technical concepts, and align diverse stakeholders toward common goals.
  • Comfortable operating and thriving in unexplored or ambiguous territory, with a high level of independence and self-motivation.