Experience:
- Design & Build Data Models: Architect and develop scalable, performant data models in Snowflake using dimensional modeling (star/snowflake schemas), OBT, and Data Vault patterns. You'll own the data warehouse layer that powers analytics and reporting across the organization.
- Develop & Maintain dbt Projects: Build, test, and document dbt models end-to-end - staging, intermediate, and mart layers. Enforce best practices including version control, CI/CD, data contracts, and comprehensive testing (schema, data, and freshness tests).
- Snowflake Cost Optimization: Monitor and optimize Snowflake compute and storage costs. This includes warehouse sizing and auto-suspend tuning, query profiling, clustering key strategies, materialization choices, and implementing resource monitors to control spend.
- Data Pipeline Development: Design and build robust ELT/ETL data pipelines to ingest, transform,



and deliver data from diverse sources (ERP, MES, IoT, APIs, flat files) into Snowflake/ AWS Glue/ Lambda. Automate workflows using orchestration tools and Python scripting.
- Data Quality & Governance: Implement data quality checks, lineage tracking, and documentation standards. Champion data governance practices to ensure trusted, reliable data across the organization.

Nice to have:
- Knowledge of data orchestration tools (Airflow, Snowflake Tasks).
- Experience with Git-based workflows, CI/CD pipelines, and DevOps practices for analytics.
- Familiarity with Snowflake cost governance features: resource monitors, warehouse scheduling, query tagging, and usage dashboards.
- Exposure to data mesh or data product concepts.

📌 Lead Data Analytics (Argentina)
🏢 Stefanini Group
📍 Argentina