Data Engineer

We are seeking a Senior Data Engineer to build and operate enterprise-grade data pipelines using Microsoft Azure as the orchestration layer and Snowflake as the enterprise data lake/warehouse. This role focuses on reliable ETL/ELT, push/pull data integration patterns, and scalable platform engineering in a GxP / validated environment. Key Responsibilities Design and build batch and incremental data pipelines using Azure-native orchestration services to move data into and out of Snowflake. Support push and pull architectures across files, APIs, enterprise applications, and external partners. Develop curated, consumption-ready datasets in Snowflake using standardized, reusable patterns. Implement data quality, and reconciliation controls within pipelines. Follow CI/CD and controlled deployment practices across Dev / QA / Prod environments. Ensure solutions meet GxP expectations for data integrity, traceability, auditability, and change control. Partner with Quality, Validation, and platform teams to support compliance and audit readiness. Required Qualifications 10+ years of hands-on data engineering experience. Strong experience with Microsoft Azure orchestration/integration services. Strong experience working with Snowflake as a data lake/warehouse. Proven experience with ETL/ELT and push/pull integration patterns. Experience operating in regulated or validated (GxP) environments. Strong SQL and data engineering fundamentals. Preferred Experience with enterprise data platforms and multi-domain data architectures. Familiarity with CI/CD, role-based access control, and secure data sharing. Experience integrating ERP, manufacturing, or regulated systems.