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Building High Performing Data Engineering Teams


Data engineering teams form the backbone of any organization's data function, ensuring that data flows seamlessly and efficiently from source to insight. These teams tackle the critical tasks of designing, building, and maintaining the infrastructure that allows for the storage, retrieval, and analysis of data. Now more than ever, building a high-performing data engineering team has never been more critical.

In this session, Liya Aizenberg, Director of Data Engineering at, will explore the strategies and best practices for assembling and nurturing a high-performing data engineering team. From identifying and attracting the right talent to fostering a culture of continuous learning and innovation, she will cover the essential components that contribute to the success of a data engineering team.

Key Takeaways:

  • The critical role of data engineering teams in maintaining and optimizing an organization's data infrastructure for better decision-making and innovation.
  • Strategies for recruiting and retaining skilled data engineers, fostering a culture of continuous improvement and collaboration within the team.
  • Leadership practices that empower data engineering teams to excel, including setting clear goals, promoting open communication, and providing opportunities for professional growth.


Liya Aizenberg Headshot
Liya Aizenberg

Director of Data Engineering,

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