
Data Architect Lead
5 days ago
This key position requires a detail-obsessed data architect to design and implement scalable, semantic-layered datasets with historical tracking and versioning.
The ideal candidate will have advanced Python skills for API extraction, automation, and orchestration, as well as expertise in GA4 implementation and data handling.
- Reverse-engineer APIs across Meta, Google, TikTok, and others to extract hidden attribution data, auction signals, and algorithmic behavior.
- Exploit beta features and undocumented endpoints to unlock advanced data streams.
- Capture ephemeral data before it disappears — attribution snapshots, pacing drift, algorithm shifts.
- Build real-time monitoring datasets to detect anomalies, pacing issues, and creative decay.
- Scrape competitor websites and dissect tracking logic to reveal platform strategies.
- 3+ years as a Data Engineer with deep experience in MarTech or growth/performance marketing.
- Advanced Python for API extraction, automation, and orchestration.
- JavaScript proficiency for tracking and GTM customization.
- Expert-level experience with GA4 implementation and data handling.
- Hands-on experience with Snowflake, including performance tuning and scaling.
- Comfortable working with S3 and data lakes for semi/unstructured data.
- Strong SQL and understanding of scalable data models.
- Experience with dbt for transformation and modeling.
- CI/CD pipelines using GitHub Actions or similar.
- Knowledge of vector databases (e.g., Pinecone, Weaviate) for AI/ML readiness.
- Familiarity with GPU computing for high-performance data workflows.
- Data app development using R Shiny or Streamlit.
- Relentlessly curious: You don't wait for someone to show you the API docs; you find the endpoints yourself.
- Detail-obsessed: You notice the subtle changes, the disappearing fields, the data drift others overlook.
- Self-directed: You don't need micromanagement. Just give you the mission, and you'll reverse-engineer the map.
- Comfortable with ambiguity: You can navigate undocumented features, partial datasets, and platform quirks without panic.
- Great communicator: You explain technical decisions clearly, with just enough detail for analysts, marketers, and fellow engineers to move forward.
- Product-minded: You think in terms of impact, not just pipelines. Every dataset you build is a stepping stone to better strategy, smarter automation, or faster growth.
We are a growing team of passionate, performance-driven individuals on a mission to be the best at growing multiple e-commerce businesses with great products.
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