Data engineering team leads
summary
Career advice for new data engineering leads that focuses on concrete practices: prioritize people through regular one-on-ones and delegation, run monthly office hours and a dedicated Slack support channel to "sell" the platform, and track incidents using an incident tracker spreadsheet so reprocessing becomes measurable. Run POCs for cost savings (finops) and platform changes—example: migrated to Databricks—and write performance reviews around measurable impact, company values, and clear growth opportunities. Recognition programs (Kudos) and small internal KT presentation series boost morale.
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chapters (7)
- 0:00Introduction and speaker background
- 1:46Career progression in data engineering
- 4:33Technical responsibilities as a team lead
- 8:49Human side of team leadership
- 15:09Performance reviews and growth
- 18:00Big-picture leadership and culture
- 20:26Future goals and closing remarks
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