🎁 Before you apply, rehearse this interview. Create your free WorkMundi account and get an Interview Training on HelpsYouSpeak — no cost, no card. I want my training →
Databricks runs one of the largest data platforms in the world, and this team builds the internal version of it: the Data Intelligence Platform that Databricks itself uses to automate decision making across the company. That means tooling spanning logging, orchestration, data transformation, a metric store, governance platforms and consumption layers. The interesting structural detail is that the team functions as a large in house production customer of Databricks' own product, so it dogfoods the platform and shapes its direction from the inside. The scale context the posting gives is concrete: a fleet of millions of virtual machines generating terabytes of logs and processing exabytes of data a day, where cloud hardware, network and OS faults are routine rather than exceptional and the software has to shield customers from them. Who it is for: QUALIFICATIONS, AS PUBLISHED - 6+ years of industry experience. - 4+ years of experience providing technical leadership on large projects, including ETL frameworks and similar systems described in the posting. WHAT THE JOB ACTUALLY IS DAY TO DAY Helping build the Data Intelligence Platform that allows Databricks to automate decision making across the entire company, in collaboration with Databricks product teams, data science and applied AI. Developing tools spanning logging, orchestration, data transformation, metric store, governance platforms and data consumption layers, using the latest Databricks product and other tools in the data ecosystem. THE SCALE, IN THE EMPLOYER'S OWN TERMS Databricks describes operating a fleet consisting of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day, and says that at that scale it observes cloud hardware, network and operating system faults that its software must gracefully shield customers from. LOCATION AND WORKING PATTERN Bengaluru. Office days are not stated in the posting. HONEST FIT GUIDANCE Read the second requirement carefully: four or more years providing technical leadership on large projects is a substantial ask on top of the six year headline, and it is about scope and influence rather than managing people. This is one of four Databricks openings in this edition ranging from six to ten years. If your background is data engineering and platform tooling rather than product features, this is the closest fit of the four. .
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.