Founding Data Engineer

The Mission: The $2T luxury sector operates on a 6-month information lag, relying on gut instinct and trailing retail data. Canvas Market Index (CMI) solves this information asymmetry. By providing the first "Bloomberg Terminal" for creative capital, we convert qualitative sentiment into quantitative Alpha, allowing institutional stakeholders to price cultural momentum before it manifests on the balance sheet.

The Technical Challenge: You will own the architecture and scaling of three core proprietary systems:

1. Multimodal Composite Scoring: Standardizing diverse, high-fidelity data streams into a unified, multi-weighted benchmark.
2. Predictive Anomaly Detection: Implementing advanced time-series analysis and signal normalization to identify specific entities before they reach peak market volume.
3. Proprietary Validation Gateway: Building an agentic ETL sanitization layer that ensures total data integrity by cross-referencing all ingested signals against a verified ground-truth taxonomy.

What You’ll Do:

• Build the end-to-end flow from raw cultural ingestion to highly optimized materialized views.
• Design the math for real-time velocity tracking and temporal decay to ensure the platform remains hyper-responsive to Alpha.
• Own the Row-Level Security (RLS) and data-silo architecture to ensure corporate-grade privacy for Tier-1 clients.
• Scale the infrastructure for high-concurrency API access and direct integration with client ERP systems (SAP/Oracle).

What We’re Looking For:

• Expert-level PostgreSQL and advanced indexing. You can keep complex, dynamic visualizations running at sub-200ms speeds.
• Deep experience with Python-based data manipulation (NumPy/Pandas) and time-series modeling.
• You’ve built RAG systems or agentic filters that prioritize structured, verifiable data over generic generative outputs.
• You’ve built institutional systems in FinTech, AdTech, or Alternative Data—environments where data integrity is the product.

The Opportunity: This is a founding role with the chance to lead the engineering of a category-defining data product from the ground up. If you are obsessed with building clean, high-performance systems that move the needle for the world’s most influential brands, we want to hear from you.