We are seeking a Lead Data Science Engineer to design and deliver reusable data sharing adapters and governed access patterns across a cloud lakehouse and external data platforms. You will guide high-impact architecture decisions, ensure reliable data and AI workflows, and help the team ship secure integrations.
Responsibilities
- Design a reusable lakehouse write layer with dual-format metadata to support multiple consumers
- Build and validate ingestion pipeline patterns from object storage to an analytical warehouse for structured operational data
- Implement change-data-capture patterns for real-time and near-real-time data movement into the lakehouse
- Develop dependency-aware bookkeeping and data lineage tracking patterns across pipelines
- Ensure adapter code is modular, version-controlled, tested, and reusable across new integrations
- Configure external table definitions for shared lakehouse data products in Snowflake catalogs
- Validate zero-copy read access from Snowflake to shared Iceberg and Delta tables without data movement




- Implement tenant-scoped access controls aligned with external catalog governance requirements
- Implement and certify a Delta Sharing adapter for live data sharing to Databricks consumers
- Configure Delta Sharing endpoints and manage sharing agreements for multiple tenants
- Validate consumer access via supported clients while meeting freshness and latency expectations
- Register connector types in a governed connector registry and enforce auditable RBAC on data-out paths
- Implement metering hooks compatible with governed billing requirements for external data flows

Requirements
- 5+ years of data science or ML engineering experience with production Python and pandas
- Experience building RAG applications using embeddings and retrieval pipelines
- Experience writing SQL for analytical data workflows and validation
- Strong technical leadership skills to drive architecture decisions and mentor peers
- Proven project delivery sk

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