Lead the end-to-end collection stack for data and AI infrastructure at Databricks.
Posted by employer 2 months ago
First seen on Joblaze 2 months ago
Last verified on the company career page 5 days ago
Skills & Technologies
Role intensity
40% coding
Requirements
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In this role at Databricks, the Staff Software Engineer will oversee the entire data collection stack, including browser tags, mobile SDKs, and server-side endpoints, ensuring high quality and reliability. Key skills include extensive experience in JavaScript, server-side collection, and a solid understanding of privacy requirements. This position is ideal for a seasoned engineer with over a decade of experience, particularly those who have led complex software projects and possess strong collaboration skills. Databricks emphasizes a culture of ownership and innovation, making it a fitting environment for proactive leaders.
Joblaze insights
Quick facts
From the original posting
P-1607
At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer-obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.
First-party data collection is the entry point for everything downstream. It also runs on other people's websites and inside other people's apps, which raises the bar from a quality, reliability, and development experience. We are looking for an engineer to lead that surface, client and server side.
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
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