
Helping 18k+ Databricks data engineers become seniors: interview like seniors, execute like seniors, think like seniors.
| Publishes | Weekly | Episodes | 10 | Founded | 2 months ago |
|---|---|---|---|---|---|
| Number of Listeners | Category | Technology | |||

Two engineers, same team, both five years in. Last quarter Mark shipped forty-seven pull requests across three pipelines. Sam shipped nine. On any dashboard, Mark wins by a mile. Sam got the staff offer. Mark got a kind note about continuing to demon... more
You built the table right. Well-partitioned, documented, fast enough that the row count came back before you finished reading your own Slack. Six months later it takes four minutes to return that same count, and nobody on your team ever decided to ma... more
You open your Databricks workspace. Two Delta tables. Same size, same downstream BI workload. Table A was partitioned and z-ordered in 2023, runs fine. Table B is greenfield this quarter, liquid clustering by default. Your tech lead asks how aggressi... more
Year one. Two new juniors join the same Databricks platform org. Same starting salary, same skills, same desk. Year three, five thousand bucks apart. Year eight, household-car-and-a-half apart. Every year. Forever.
Both worked hard. Both stayed tech... more
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How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #210 | |
Apple Podcasts | #247 |
Listeners, social reach, demographics and more for this podcast.
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The series targets data engineers working with Databricks, offering actionable frameworks and career guidance grounded in real-world engineering challenges. Episodes center on practical topics like optimizing Spark workloads, choosing between clustering and partitioning strategies for Delta tables, and managing governance with Unity Catalog, all while emphasizing career growth—how to build enduring, demonstrable impact and position oneself for promotions. A notable through-line is turning technical work into leverageable assets, whether through structured decision frameworks, audits, or documented narratives that showcase impact. Listeners can expect blunt, actionable prompts and concrete examples designed to help engineers navigate platfor... more
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The Databricks Data Engineer launched 2 months ago and published 10 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
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