We're building Sophie, a multi-agent AI orchestrator that helps wealth management advisors deliver more personalized, effective service to their clients. Our platform analyzes behavioral patterns, communication preferences, and emotional states to transform how advisors understand and serve their clients. We're a small, well-funded team at an exciting inflection point — our technology works, customers love the product, and now we're building the engineering team to scale.
The Role
We're looking for a Senior Data Engineer to architect and build our data infrastructure from scratch. You'll create the foundation that powers everything from analytics to ML model training — data warehouse, ETL pipelines, feature stores, and the governance that makes it all maintainable. This is a senior role because we need someone who can design and build with minimal guidance. There's no existing data team to learn from — you're building the platform that everything else depends on.
What You'll Do
Data Infrastructure Architecture
Design and implement the foundational data infrastructure from scratch
Set up Snowflake with proper environments, security, and access controls
Create architectural patterns that scale with the company
ETL/ELT Pipeline Development
Build robust pipelines from source systems to the data warehouse
Implement transformations with dbt and orchestrate with Airflow/Dagster
Integrate Fivetran connectors and custom extraction from Supabase
Data Modeling
Design dimensional models supporting both analytics and ML use cases
Create semantic layers that make data accessible to stakeholders
Implement slowly changing dimensions and proper data governance
ML Data Pipelines
Build infrastructure feeding Sophie's machine learning capabilities
Create feature stores for real-time feature serving
Implement data versioning for reproducibility
What We're Looking For
Must Have
5+ years experience with modern cloud data warehouses (Snowflake strongly pref
📌 Data Engineer (Argentina)
🏢 Prospera AI
📍 Argentina
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