About this episode
Top takeaways:
- Challenges around scaling data engineering teams
- Pros and cons of keeping job descriptions vague
- Waiting to make the “right” hire?
- Focusing on retention and career progression
Meet: Liran Eisenberg is a forward-thinking Data Architect with 20 years of technical management experience guiding the development and design of enterprise database platforms for global organizations. Working both as a consultant and employee, oversee implementation of data architecture projects and platform solutions within highly regulated high-tech, financial, military, and health care sectors ranging from startups to large corporate enterprises.
If you have any questions for Liran, please feel free to reach out via:
https://www.linkedin.com/in/liraneisenberg/
I hope you enjoyed the episode, the best place to connect with me is on Linkedin - https://www.linkedin.com/in/amirbormand (Amir Bormand). Please send me a message if you would like me to cover certain topics with future guests.
Get every episode summarized
Each time The Tech Trek publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from The Tech Trek
How AI Is Changing Engineering Workflows and Software Teams
The Tech Trek
How AI Agents Are Changing Who Can Build Software
The Tech Trek
How to Build a Data Team Ready for AI
The Tech Trek
How AI Startups Can Challenge the Enterprise Services Model
The Tech Trek