We are looking for a Lead Data Science Engineer to build reusable data-sharing adapters that connect a governed lakehouse to external cloud data platforms while ensuring secure, auditable access. You will lead design and delivery across ingestion patterns, access controls, and quality gates, collaborating with engineers to ship reliable integrations.
Responsibilities
- Design and implement a UniForm lakehouse write layer with dual-format metadata to support multiple consumers
- Build and validate ingestion pipeline patterns for operational datasets into an analytical warehouse and lakehouse
- Implement change-data-capture patterns with Kafka for real-time and near-real-time lakehouse updates
- Develop dependency-aware bookkeeping and data lineage tracking patterns for pipeline observability
- Engineer modular, version-controlled adapter components that can be reused across new data source integrations
- Configure and validate external table access patterns for Iceberg and Delta formats in Snowflake with zero-copy reads




- Implement tenant-scoped access controls compatible with external catalog governance requirements
- Implement and certify a Delta Sharing adapter for zero-copy sharing to Databricks consumers
- Configure sharing endpoints, registration, and agreement management for Databricks integrations
- Validate end-to-end data freshness and sharing latency against defined SLA targets
- Register connector types and implement RBAC and tenant-scoped authorization for governed data-out paths
- Integrate metering hooks compatible with billing requirements for governed data-sharing flows
- Apply AI-assisted development tools in daily engineering work and demonstrate effective usage during technical review

Requirements
- 5+ years of data science or ML engineering experience with Python, pandas, and scikit-learn
- Experience building data pipelines with SQL and Git-based workflows
- Experience delivering production-grade RAG applications development using embeddings an

📌 Lead Data Science Engineer (Argentina)
🏢 EPAM Systems
📍 Argentina