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.