We are seeking a Lead Data Integration Engineer to deliver production dbt and Snowflake models powering GTM analytics and AI agents. You will create trusted semantic layers, unify Salesforce and Gong-style interaction data, and prepare datasets for Snowflake Cortex and Snowflake Intelligence.

Responsibilities

• Design and maintain production data models in dbt and Snowflake to measure account health, engagement velocity, and customer intent signals
• Integrate structured records with unstructured interaction data (Gong call transcripts, emails, Salesforce CRM objects, and product usage telemetry) into reliable account-level dimensions
• Define consistent modeling patterns, naming conventions, and metric definitions across GTM datasets
• Implement and operate an enterprise semantic layer (such as the dbt Semantic Layer or MetricFlow) to prevent conflicting metric calculations across business tools
• Prepare clean, context-rich datasets optimized for retrieval, search, and reasoning in Snowflake Cortex, Snowflake Intelligence, and internal AI agents




• Create feature tables and context stores that enable LLM agents for automated meeting prep, competitive intelligence, and account research
• Administer metadata and data enrichment patterns so AI agents correctly interpret account stages, customer sentiment, and relationship history
• Develop automated tests, schema validations, and freshness monitors in dbt for both structured metrics and unstructured data transformations
• Enforce data governance, role-based access controls (RBAC), and audit trails across sensitive sales pipeline and customer interaction data
• Collaborate with Revenue Operations and governance teams to document data lineage and maintain clear dataset ownership
• Contribute within an agile sprint cadence, supporting backlog planning, design reviews, and technical standards
• Deliver self-service data models and documentation so analysts and product teams can query data independently

Requirements

•

📌 Lead Data Integration Engineer (Chile)
🏢 EPAM Systems
📍 Chile