Build and maintain marketing attribution systems (UTM tracking, user journey, conversion mapping)
Implement and manage 1st-party data passback to ad platforms (e.g., conversions, revenue, LTV signals)
Configure and maintain tracking infrastructure:
GTM (client + server-side)
Google Ads (Enhanced Conversions)
Meta Pixel + Conversions API
LinkedIn, TikTok, and other ad platforms
Set up and maintain conversion events and schemas across platforms
Ensure consistent event definitions and naming across product, CRM, and ad platforms
Build and manage audience sync pipelines
Integrate CRM and warehouse data into ad platforms for optimization (offline conversions, lead stages, revenue)
Operationalize new marketing experiments (UTMs, tracking parameters, campaign setup)
Debug and resolve tracking and attribution discrepancies across systems (e.g., Ads vs CRM vs warehouse)
Build and validate marketing and pipeline dashboards, ensuring data accuracy and consistency
Implement privacy-safe tracking practices (Consent Mode, CMP integrations)
Partner closely with growth, product, and data teams to ensure measurement supports decision-making

3–5 years of experience in growth data, marketing data engineering, or analytics engineering
Strong hands-on experience with:
GTM, pixels, conversion APIs
Ad platforms (Google Ads, Meta, etc.)
Experience implementing conversion tracking and attribution systems
Experience sending offline conversions / LTV signals back to ad platforms
Familiarity with data pipelines and warehouse concepts (BigQuery, SQL, ETL/ELT)
Strong SQL skills; comfortable working with data directly
Strong debugging skills — able to systematically investigate and resolve data discrepancies
Comfortable working cross-functionally with marketing, product, and data teams
High ownership, fast execution, and strong attention to detail
Nice to Have
Experience supporting performance marketing teams
Familiarity with attribution models (last-click, MTA, probabilistic vs deterministic)
Privacy frameworks (SKAN, ATT, Privacy Sandbox)
Experience with mobile attribution tools (AppsFlyer, Adjust, Branch)
Experience with experimentation and A/B testing frameworks
Experience in consumer product, marketplaces, or e-commerce
Basic Python or scripting for automation

Growth Data Engineer

Key skills