Head of Data Engineering

3 days ago

Tel Aviv, Tel Aviv, Israel Stealth Startup Full time ₪120,000 - ₪180,000 per year

We are looking for an experienced, hands-on Head of Data to lead the design, development, and deployment of a scalable data platform capable of handling billions of events and connections every day. This platform will serve as the foundation for our advanced cybersecurity solutions, enabling real-time data processing, complex modeling, machine learning workflows, and large language model (LLM) integration.

Key Responsibilities:

  • Data Architecture & Engineering:
    Design and implement the core data infrastructure, including data lakes, warehouses, and real-time streaming systems.
  • Pipeline Development:
    Build and maintain robust pipelines to ingest, process, and transform large, diverse datasets while ensuring quality and consistency.
  • Database Strategy:
    Oversee database implementation and optimization, including indexing, partitioning, aggregations, and high-performance query execution.
  • Scalability & Reliability:
    Ensure the platform performs efficiently at scale, handling massive daily volumes with minimal latency.
  • ML & LLM Integration:
    Partner with data science teams to deploy and optimize machine learning pipelines and integrate LLMs into production workflows.
  • Cross-Functional Collaboration:
    Work closely with engineers, data scientists, and cybersecurity experts to align the platform with research and business goals.
  • Innovation & Technology Leadership:
    Keep the team at the forefront of emerging trends in big data, cloud platforms, and cybersecurity to continuously improve the platform.

Required Skills & Experience:

  • Large-Scale Data Systems:
    Proven experience designing and building complex data architectures on cloud platforms such as AWS, GCP, or Azure.
  • Data Modeling Expertise:
    Strong hands-on experience developing sophisticated data models and schemas for both batch and real-time processing.
  • Backend Development:
    Extensive experience developing backend systems for high-throughput, data-driven applications.
  • Streaming Data Technologies:
    Proficiency with tools like Apache Kafka, Flink, or Spark Streaming for processing high-velocity data streams.
  • Database Management:
    In-depth knowledge of SQL, NoSQL, NewSQL, and graph databases, with experience optimizing queries and operations at scale.
  • Machine Learning & LLMs:
    Experience running production ML pipelines and integrating LLMs into data systems.
  • Data Security & Governance:
    Familiarity with encryption, data governance, and security best practices for handling sensitive information.
  • Leadership & Collaboration:
    Ability to lead cross-functional teams and communicate complex technical concepts to both technical and non-technical stakeholders.

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