Design, build, and optimize scalable data pipelines and data products for supply chain and operations.
Leverage Snowflake, dbt, Airflow, Python, and SQL for data quality and governance.
Develop reusable data models and semantic layers for self-service analytics.
Design integrations between Snowflake, enterprise apps, APIs, and cloud storage.
Lead data architecture and platform scaling; mentor engineers.
Collaborate with Supply Chain and Analytics teams to enable trusted data.

🎯 Requirements

10+ years IT with 5+ years hands-on Data Engineering.
Expert SQL and relational/dimensional data modeling.
Experience with Snowflake and cloud data platforms.
Strong Python, dbt, Airflow, and Spark/PySpark data pipelines.
Data quality, testing, monitoring, observability; DataOps and CI/CD.
Experience partnering with Supply Chain/Manufacturing/Operations; strong communication.

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