Senior Ads Measurement & Orchestration Engineer

Databricks; New York (NY); On-site; USD 191,000 - 254,000; Full time

Job summary

Databricks is hiring an experienced engineering leader to own the ingestion, normalization, and cross-platform aggregation of advertising data at scale. You will design and implement agentic workflows that interpret performance data and drive actionable insights across platforms, partnering closely with product, design, and other engineers.

The role emphasizes ownership, pragmatic decision-making in 0→1 environments, and a track record shipping large-scale data/AI infrastructure; 10+ years of

Qualifications

• 10+ years of engineering experience, including time as a tech lead or leading other tech leads
• Hands-on experience with walled garden advertising APIs (Meta, Google, Amazon, TikTok) or equivalent
• Working knowledge of ad tech data models (campaign hierarchies, attribution windows, APIs)
• Familiarity with measurement approaches (MTA, MMM, incrementality testing)
• Experience shipping LLM-powered systems to production with guardrails
• High ownership and bias for action in 0→1 environments
• Strong ability to collaborate across product, engineering, and design teams
• Nice-to-have: TLM experience, platform measurement infra experience, experimentation/causal inference

Responsibilities

• Lead the ingest and normalization path for advertising platform data at scale, including rate limits and backfills
• Design aggregation and identity layers to make figures comparable across platforms
• Lead development of agentic workflows that parse, interpret, present, and act on performance data
• Set the correctness and evaluation bar in a noisy data domain
• Partner with product, design, and engineering to build scalable, extensible solutions that drive growth

Skills

Engineering leadership

Tech lead

Ads APIs

Data platforms

LLM systems

Experimentation

Collaboration

Product alignment

Job description

Databricks is hiring an experienced engineering leader to own the ingestion, normalization, and cross-platform aggregation of advertising data at scale. You will design and implement agentic workflows that interpret performance data and drive actionable insights across platforms, partnering closely with product, design, and other engineers.

The role emphasizes ownership, pragmatic decision-making in 0→1 environments, and a track record shipping large-scale data/AI infrastructure; 10+ years of