Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and over 60% of the Fortune 500 — rely on Databricks to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified Data Intelligence Platform that includes Agent Bricks, Lakeflow, Lakehouse, Lakebase and Unity Catalog.
--- Databricks applicants
Please apply through our official Careers page at databricks.com/company/careers.
All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Rating Reviews
Rating is calculated based on
22
reviews and is evolving.
Pros: Databricks offers an incredible environment for Software Engineers in the data and AI industry. Leadership provides a clear vision for cloud computing innovation. My colleagues are brilliant and collaborative, fostering a high-impact, learning-rich workplace with good hybrid flexibility.
Cons: The rapid growth means communication isn't always seamless, especially regarding evolving internal processes. Also, while career development is available, the promotion path can sometimes feel slower than one might expect for a fast-paced tech company.
Advice to Management: Continue to focus on streamlining internal communication channels and consider clearer, more predictable career progression frameworks to support individual contributor growth, especially as the company continues to scale globally.
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Pros: I really appreciate the remote work setup here. It's a huge plus for work-life balance, helps with personal stuff around my data engineering tasks. For big tech, the flexibility to work from home most days is great.
Cons: Sometimes meetings get stacked across time zones, which can be tough. There's an expectation to be online and responsive, so 'unplugged' flexibility isn't always there. It's not a 40-hour week every time, especially around deadlines.
Advice to Management: Try to consolidate meetings across time zones better. Encourage managers to really let people disconnect when not actively working.
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Pros: The base salary for a Software Engineer here is really competitive, especially for a big tech company. The stock grants (RSUs) are also quite generous and a major part of total compensation. We've got a decent medical plan too, which is a big plus.
Cons: The RSU vesting schedule can feel a bit slow, especially early on. Also, the annual bonus isn't always as high as I'd hope, and raises sometimes feel modest compared to how much we contribute.
Advice to Management: Re-evaluate the RSU vesting acceleration for long-term employees and ensure annual bonus targets are more consistently met for engineers working on the data science platform.
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What is the day-to-day culture like for a software engineer at Databricks, especially considering its rapid growth in the data analytics industry?
The culture at Databricks for software engineers is generally fast-paced and collaborative, with a strong emphasis on technical excellence and innovation. You'll find that teams are often working on cutting-edge projects in distributed systems and machine learning, which is typical for a leading company in the data analytics space.
How does Databricks approach remote work and hybrid models for their software engineering roles, and how does it impact team collaboration?
No answers yet.
What is Databricks' policy on remote work for software engineers in the US, and how does it impact team collaboration?
No answers yet.
What is the management style like at Databricks, particularly for data engineers in the San Francisco Bay Area?
No answers yet.
What is the general working culture like for software engineers at Databricks, especially regarding collaboration and innovation?
The culture at Databricks fosters a highly collaborative environment where engineers are encouraged to share ideas and contribute to innovative projects. Teamwork is central, with cross-functional teams frequently working together on complex data and AI solutions.
What's the day-to-day environment like for a software engineer at Databricks, especially regarding collaboration and innovation?
Engineers at Databricks typically work in a fast-paced, collaborative environment focused on tackling complex data challenges. You'll find a strong emphasis on open communication and knowledge sharing, with opportunities to contribute to cutting-edge projects in the big data and AI space.
What is Databricks' policy on remote work for engineers in the Bay Area?
Databricks offers a hybrid work model, allowing engineers based in the Bay Area to work from home a few days a week. The specific arrangement often depends on team needs and manager discretion, but it provides flexibility while maintaining in-office collaboration.
What is the work-from-home policy like for software engineers at Databricks in the San Francisco Bay Area?
Databricks offers a hybrid work model, allowing flexibility for software engineers. While many teams adopt a hybrid approach with 2-3 days in the office at their San Francisco Bay Area headquarters, specific team policies can vary based on project needs and management discretion.
