Data Engineer (La Plata) (Argentina), Gobernador Gálvez

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 RoleWe'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 DoDesign and implement the foundational data infrastructure from scratchSet up Snowflake with proper environments, security, and access controlsCreate architectural patterns that scale with the companyBuild robust pipelines from source systems to the data warehouseImplement transformations with dbt and orchestrate with Airflow/DagsterIntegrate Fivetran connectors and custom extraction from SupabaseData ModelingDesign dimensional models supporting both analytics and ML use casesCreate semantic layers that make data accessible to stakeholdersImplement slowly changing dimensions and proper data governanceBuild infrastructure feeding Sophie's machine learning capabilitiesCreate feature stores for real‐time feature servingWhat We're Looking ForMust Have5+ years experience with modern cloud data warehouses (Snowflake strongly preferred)Extensive ETL/ELT pipeline development with strong SQL skillsdbt experience required; Airflow
#J-*****-Ljbffr