AI-Driven Marketing Data Engineer

Openkrill; United States; Remote; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Global team

Job summary

Addi is seeking a data-savvy leader to own the marketing data platform, connecting pipelines to Braze, AppsFlyer, GTM, and the App, while enabling AI-driven self-service analytics for Marketing, Growth and Marketplace teams.

You will map the end‑to‑end pipelines, add tests and alerts, deploy AI workflows, cut costs, and maintain a unified data catalog with clear ownership, aligning with governance standards across data products.

Qualifications

• Proven ability to write and debug complex SQL at scale with window functions and incremental logic.
• Experience building and operating ELT pipelines on a modern data platform.
• Hands-on with dbt, Airflow or similar, plus Git and code reviews.
• Ability to automate with Python and build agentic workflows.
• Experience writing documentation, runbooks, and data catalog entries for teams and AI agents.

Responsibilities

• Map the marketing data platform end-to-end and document for humans and AI agents.
• Add tests and alerts to critical pipelines to reach 99% on-time data and reduce incidents.
• Ship AI agents or agentic workflows with users, runbooks, and improvements within 6 weeks of v1.
• Reduce cost and runtime of main pipelines by 30% by eliminating unused tables/jobs.
• Maintain a single catalog of marketing data with owners and approval rules.

Skills

SQL

ELT pipelines

dbt

Airflow

Python

Git

Code reviews

On-call readiness

Documentation

English communication

Tools

dbt

Airflow

Git

Braze

AppsFlyer

GTM

Spark

AWS

MCP servers

Job description

Addi is seeking a data-savvy leader to own the marketing data platform, connecting pipelines to Braze, AppsFlyer, GTM, and the App, while enabling AI-driven self-service analytics for Marketing, Growth and Marketplace teams.

You will map the end‑to‑end pipelines, add tests and alerts, deploy AI workflows, cut costs, and maintain a unified data catalog with clear ownership, aligning with governance standards across data products.