Joblaze summary

In this role, the Staff Software Engineer will focus on leading the development of data ingestion and normalization processes for advertising platforms, ensuring accurate performance metrics across various channels. Key skills include extensive experience with advertising APIs and a solid understanding of ad tech data models and measurement techniques. This position is ideal for a seasoned engineer with a strong leadership background, particularly in complex enterprise software projects. Databricks emphasizes collaboration across teams to drive innovative solutions that enhance user and business growth.

Joblaze insights

Listed about 2 months ago — first seen on Joblaze August 28, 2026. Last confirmed on Databricks's careers page October 28, 2026.
Salary band is in line with the typical range for Backend roles (median ~$180,000).
Starts above 25% of 217 comparable staff backend roles in United States we track (median $215,000 across 65 companies).
LLM appears in 0.7% of 296 comparable staff backend roles in United States; Google appears in 0.3% of 296 comparable staff backend roles in United States.

Quick facts

What's the salary range?: Databricks lists $190,900–$253,750 for this role.
How much experience is required?: At least 10 years of relevant experience for this Staff Software Engineer, Ads Measurement & Orchestration role.
What's the tech stack?: Joblaze extracted these technologies from the posting: Ad Tech, Amazon, Google, LLM, MMM, MTA.
What seniority level is this role?: Databricks targets staff-level candidates for this position.
Is this full-time or contract?: Full-time for this Staff Software Engineer, Ads Measurement & Orchestration role at Databricks.

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.

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.

The impact you'll have:

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

What we look for:

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 0→1 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)

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.

Local Pay Range

$190,900—$253,750 USD

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Staff Software Engineer, Ads Measurement & Orchestration

The impact you'll have:

What we look for:

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