Marketing Data Architect / Scientist

We’re Hiring a Marketing Data Architect / Scientist! 🤖 

You won’t just be analyzing numbers - you’ll be the data cornerstone of our digital transformation, building the infrastructure and models that power our internal products. 💥

🏠 Remote-First role (on-site occasionally.)

🌴 Flexible PTO and unlimited sick days (Yep, really.)

🔥 Tons of Autonomy - We trust you to own your work.

🎯 Profit-sharing program - When you win, we win! We give our team a stake in the outcome.

🚀 Built to Grow - Real opportunities to grow your role as you grow your skills.

🚀 Be at the forefront of AI-enhanced marketing transformation. Shape data architecture from the ground up. 

We’re looking for a Marketing Data Architect / Scientist to join our innovation team. We are building internal solutions that empower our marketers to focus on creativity while AI handles the complex and manual work. In this role, you will unify disparate marketing data sources, build robust pipelines, and integrate AI capabilities like predictive insights and content personalization. 

If you love combining deep data architecture expertise with forward-thinking data science to drive strategy, this role is for you!

What you’ll be doing: 

Architect the Ecosystem: Design, build, and maintain a scalable data architecture that unifies disparate marketing data sources like web analytics, CRM, and ad platforms.

Engineer Robust Pipelines: Develop and manage reliable ETL/ELT pipelines and optimize a central data warehouse (likely Google Cloud Platform) as our single source of truth.

Deploy Intelligent Models: Develop and deploy machine learning models to solve marketing challenges, such as churn prediction, lead scoring, and channel attribution.

Bridge the Gap: Act as the key translator, turning complex raw data into actionable insights for business stakeholders.

Lead Data Strategy: Establish data governance standards, select the technology stack, and mentor team members on data literacy and ethical AI use.

Collaborate in Cycles: Work as a strategic partner to our product trio (Manager, Designer, Developer) in weekly cycles to define analytics goals and validate product development.

This job is for you if: 

🎯 You have 3-5+ years of experience in data architecture, data science, or data engineering (preferably in a marketing context).

💾 You have expert proficiency in SQL and complex data modelling

⌨️ You have strong coding skills in Python and its data science ecosystem (pandas, scikit-learn, NumPy).

🖱 You have proven experience building and maintaining cloud data warehouses (e.g., BigQuery, Snowflake).

🧑‍💻 You have hands-on experience managing data pipelines using tools like dbt, Airflow, or Fivetran.

🧠 You have a solid understanding of statistical analysis and machine learning concepts.

Bonus points if you:

Have direct experience with Google Cloud Platform, specifically BigQuery, Looker, and Vertex AI.

Have been experimenting with vibe coding and using AI as a coding assistant. 

Have deep knowledge of the marketing technology stack (Google Analytics, Google Ads, CRM data).

Are familiar with MLOps practices for deploying models in production.

Have experience with data visualization tools like Looker, Tableau, or Power BI.

Do NOT apply if:

You only want to crunch numbers and don't want to handle the data engineering/pipeline work.

You prefer working in isolation rather than collaborating weekly within a tight-knit development team. 

You aren't excited about AI as both an analytical tool and a practical solution enhancer.