Databricks reviews

4.0

76% would recommend to a friend

(205 total reviews)
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Ali Ghodsi

91% approve of CEO

85% positive business outlook

Reviews by job title

205 reviews

Reviews about "Management"

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5.0
Jan 12, 2022
Recommend
CEO approval
Business Outlook

Pros

The excitement and energy within Databricks is palpable. Management prioritizes work/life balance by giving one extra day off per quarter.

Cons

I have heard that some people are hesitant to take PTO as they feel they have to much more to accomplish.

5.0
Dec 25, 2021
Recommend
CEO approval
Business Outlook

Pros

- Interesting technical problems - Co-workers are very smart and very collaborative. Consistent high quality, unlike high variance at FAANG. - Engineering org is still small enough that you can have a lot of impact regardless of your level - Focus on building great products, cut through BS, company doesn't waste time on distractions - Well positioned for lots of future growth

Cons

- Technical debt from organic growth over many years, but this is also an opportunity and company is prioritizing fixing it - Internal tools could be better, but this is also an opportunity (if you work on a team that works on internal tools) and company is working on fixing it - WLB is not ideal, but also not as bad as some people say. Seems to be more a function of the kind of people Databricks hires, than something imposed by management.

2.0
Dec 14, 2021

Great platform, smart execs, crappy management

Anonymous employee
Recommend
CEO approval
Business Outlook

Pros

The platform vision is brilliant, sure to be a disruptor in the market (if it isn't already) Smart engineering team, some real field talent including sellers, SA's etc. Good pay & benefits

Cons

The field management is some of the worst I've seen. Lots of power tripping managers whose main skill is sucking up to their seniors, and in turn the managers are "protected" which means they can get away with unprofessional behavior and treating even the best performers on their team like crap. Rampant favoritism which means IC's who are amongst the lowest performing in terms of metrics get promotions and access to opportunities before better performing members on their team. Lots of script-based hacks to get the platform working properly (lookup Databricks workspace migration as an example), lack of seamless UX and integrated admin workflows across the platform, which are key to enterprise adoption.

Viewing 142 - 144 of 205 Reviews

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