Staff Software Engineer, Ads Measurement & Orchestration

P-1607

At Databricks we are passionate about enabling data teams to solve the worlds 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 worlds 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 were only getting started.

Enterprises spend more than $700 billion on digital advertising however for the most part they have very little data & intelligence on how their campaigns are performing. Reconciling that is slow manual and mostly wrong and optimizing those campaigns historically has involved humans and agencies. We are building the data and agent layer underneath that problem and we are looking for an engineer to help lead that effort.

• Lead the ingest and normalization path for advertising platform data at scale including rate limits schema drift backfills and restated numbers
• Design the aggregation and identity layers that make figures from different platforms comparable
• Lead development of agentic workflows that parse performance data interpret it present it and act on it
• Set the correctness and evaluation bar in a domain where ground truth is noisy and partially observable
• Partner closely with product management design and other engineering teams to build intuitive scalable and extensible solutions that drive user & business growth

• 10 years of engineering experience including time as a tech lead or leading other tech leads on complex enterprise software projects
• Hands-on experience with walled garden advertising APIs (Meta Google Amazon TikTok) or the equivalent from the advertiser agency or DSP side
• Working knowledge of ad tech data models: campaign hierarchies attribution windows conversion APIs deduplication across sources
• Familiarity with measurement approaches such as MTA MMM incrementality testing and privacy-preserving aggregation
• Experience shipping LLM-powered systems to production including evaluation and guardrails
• High ownership and bias for action in 01 environments: you are comfortable making pragmatic trade-offs operating with incomplete information and driving projects from idea through launch and adoption
• Strong ability to collaborate across product engineering and design teams to align technical strategy with company growth objectives
• Combination of technical and people leadership for example as a TLM (Nice to have)
• Built or operated measurement infrastructure at a platform measurement vendor or large advertiser (Nice to have)
• Background in experimentation or causal inference (Nice to have)