Growth Data Engineer

Responsibilities

• Build and maintain marketing attribution systems (UTM tracking, userjourney, conversion mapping)
• Implement and manage 1st-party data pass back to ad platforms (e.g.,conversions, revenue, LTV signals)
• GTM (client + server-side)
• 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 measurementsupports decision-making

Preferred

• Experience supporting performance marketing teams

🎯 About the Role

• We’re looking for a Growth Data Engineer to build and own OpenArt’s marketing data and attribution systems, ensuring that all acquisition and lifecycle efforts are accurately measured and optimized.
• This role sits at the intersection of data engineering, marketing tech, and analytics — focused on making sure that data flows reliably between product, warehouse, CRM, and ad platforms.
• You will be responsible for ensuring that every marketing dollar is measurable, attributable, and optimizable — from first touch to revenue.

Configure and maintain tracking infrastructure

Google Ads (Enhanced Conversions)

🧑 💻 What We’re Looking For

Core Requirements

3–5 years of experience in growth data, marketing data engineering, oranalytics 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 datadiscrepancies
• Comfortable working cross-functionally with marketing, product, and datateams
• High ownership, fast execution, and strong attention to detail

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

• ⚙ Tech Stack You’ll Work With
• GTM, Google Ads, Meta Ads, TikTok Ads, BigQuery, Metabase, Amplitude, Stripe,SQL, GCP

💰 Compensation

• Competitive base salary and bonus program
• Equity — meaningful ownership in what you build

High autonomy, high growth environment

• 🌍 Work Setup
• Bay Area required (hybrid allowed)
• Visa sponsorship available