Staff Software Engineer, Ads Measurement & Orchestration
Databricks2 months ago
Base Salary
$191k - $254k/yr
Responsibilities
- Lead the ingestion and normalization path for advertising platform data at scale, including rate limits, schema drift, backfills, and restated numbers.
- Design aggregation and identity layers that reconcile data across advertising platforms.
- Lead development of agentic workflows that parse, interpret, present, and act on performance data.
- Set the correctness and evaluation standards for measurement systems with noisy and partially observable ground truth.
- Partner with product management, design, and engineering teams to build scalable solutions that support user and business growth.
- Drive projects from initial concept through launch and adoption while making pragmatic trade-offs in incomplete-information environments.
Requirements
- 10+ years of engineering experience, including experience as a tech lead or leading other tech leads on complex enterprise software projects.
- Hands-on experience with advertising platform APIs such as Meta, Google, Amazon, or TikTok, or equivalent experience on the advertiser, agency, or DSP side.
- Working knowledge of advertising technology data models, including campaign hierarchies, attribution windows, conversion APIs, and cross-source deduplication.
- Familiarity with MTA, MMM, incrementality testing, and privacy-preserving aggregation.
- Experience shipping LLM-powered systems to production, including evaluation and guardrails.
- Strong ownership, bias for action, and ability to operate effectively in 0→1 environments.
- Strong collaboration skills across product, engineering, and design teams to align technical strategy with company growth objectives.
- Preferred: technical and people leadership experience, such as serving as a TLM.
- Preferred: experience building or operating measurement infrastructure at a platform, measurement vendor, or large advertiser.
- Preferred: background in experimentation or causal inference.
Benefits
- Databricks offers comprehensive benefits and perks, with region-specific details provided separately.
Tech Stack
Databricks
Categories
About Databricks
Databricks builds a cloud-based data and AI platform centered on the lakehouse architecture, combining data engineering, analytics, and machine learning with Apache Spark, Delta Lake, and MLflow. It sells subscriptions and cloud services to enterprises that need to unify data pipelines and develop large-scale AI and analytics. Founded in 2013 by the creators of Apache Spark and headquartered in San Francisco, the company is privately held and serves organizations across many industries.