Director of Data Engineering

13 hours ago

Haifa, Haifa, Israel Augury Full time ₪120,000 - ₪240,000 per year

At Augury, we're on a mission to build the future of industrial machine health, and data is at the heart of everything we do. As the Director of Data Engineering & MLOps, you'll lead the teams responsible for designing and operating the platforms that power our predictive and diagnostic insights at scale. You'll shape the next generation of our data infrastructure, ensure the reliability and accessibility of our data, and partner across the business to bring cutting-edge AI/ML capabilities, including GenAI, into production. This is a rare opportunity to build at scale, influence strategy, and have a direct impact on the future of industrial intelligence.

A Day in Your Life

  • Lead and grow world-class Data Engineering and MLOps teams, fostering a culture of excellence, collaboration, and continuous innovation.
  • Design, operate, and evolve highly scalable data pipelines that support both real-time and batch ingestion of diverse industrial sensor data.
  • Champion data quality, governance, and accessibility to enable accurate, impactful predictive and diagnostic models.
  • Partner closely with Data Science, Product, and Infrastructure teams to deliver platforms that scale machine health insights globally.
  • Drive best practices in MLOps, from deployment and monitoring to scaling models in production, ensuring performance and reliability.
  • Support the adoption of new technologies, including GenAI-driven workflows, where they meaningfully enhance efficiency and insight generation.
  • Continuously refine our data platform strategy to balance stability, scalability, and innovation, ensuring we stay ahead of the evolving technology landscape.

What You Bring

  • Proven experience leading Data Engineering and/or MLOps teams in large-scale, production-grade environments.
  • Strong background in large-scale data infrastructure, ideally in IoT, manufacturing, or similarly high-volume domains.
  • Hands-on expertise with data processing frameworks such as Beam, Spark, or Flink.
  • Deep experience with streaming systems (e.g., Kafka, Kinesis) operating at scale.
  • Familiarity with distributed and microservices architectures.
  • Demonstrated ability to deliver reliable data platforms that power predictive AI/ML solutions.
  • Excellent communication skills with the ability to align technical strategy to business outcomes and customer needs.

Nice-to-Haves

  • Exposure to GenAI use cases, such as data accessibility for LLMs or Retrieval-Augmented Generation (RAG) pipelines.
  • Familiarity with vector databases and feature stores.
  • Experience integrating new data modalities, including sensor and industrial IoT data.
  • Knowledge of observability practices for data pipelines and ML workflows.

Skills & Attributes

  • Inspiring leadership and mentoring abilities across Data Engineering and MLOps domains.
  • Strong interpersonal and cross-functional collaboration skills.
  • A pragmatic approach to designing scalable systems and solving complex challenges.
  • Strategic problem-solving mindset focused on performance, reliability, and customer value.
  • Curiosity and openness to exploring emerging technologies, including GenAI, where relevant.

Perks

  • Stock options
  • Paid parental leave
  • Flex PTO

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