We are seeking a Lead Data Integration Engineer to lead analytics engineering and data modeling that turns raw interaction and telemetry data into trusted, consistent account datasets for decision-making and AI-enabled workflows. You will partner with cross-functional teams to deliver governed, self-service data products in Snowflake and dbt.

Responsibilities

- Lead analytics engineering delivery for integrated account-level datasets across interaction and telemetry sources
- Design dimensional models and semantic definitions that standardize account health, engagement, and intent metrics
- Build dbt models in Snowflake that transform structured and unstructured inputs into consistent dimensions and facts
- Establish naming conventions, modeling patterns, and shared metric logic to prevent conflicting calculations
- Create datasets optimized for retrieval and reasoning to support AI agent workflows and search use cases
- Develop feature tables and context stores that enable automated meeting preparation and account research
- Implement dbt tests, schema validations, and freshness monitoring to improve reliability and trust
- Define governance controls including RBAC and auditability for sensitive pipeline and interaction data
- Coordinate documentation, lineage, and ownership with operations and governance partners
- Deliver self-service models and clear docs so analysts and product teams can query independently
- Contribute to sprint planning,



design reviews, and technical standards to ensure consistent execution
- Use AI-assisted development tools to accelerate modeling, testing, and documentation work

Requirements

- 5+ years analytics engineering or data engineering experience
- Data modeling experience for BI analytics and dimensional schemas
- Strong leadership skills to define modeling standards and guide reviews
- Strong project delivery skills in agile sprint cadences and backlog planning
- Advanced SQL skills with CTEs, window functions, complex joins, and performance tuning
- Strong dbt skills with modular projects, Jinja macros, custom tests, incremental models, and snapshots
- Strong Snowflake skills including warehouse sizing, query profiling, clustering, Time Travel, and access control
- Hands-on Git skills with branching, code reviews, and CI test runs
- Strong stakeholder collaboration skills with analytics and operations partners
- Upper-Intermediate English proficiency (B2)

Nice to have

- Snowflake Cortex experience with search, LLM functions, or embeddings
- RAG applications development knowledge including chunking and retrieval strategies
- Python for data analytics skills such as Pandas and automation scripting
- Data governance tooling familiarity for metadata, lineage, and cataloging
- BI analytics and visualization experience designing models for Tableau, Looker, or Power BI

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