Senior Data Engineer – Data Quality & Observability

About this role

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer - Data Quality & Observability based in United States.
This role offers the opportunity to design and strengthen enterprise-scale data quality and observability capabilities within a modern data environment.


You will take ownership of building frameworks that improve trust, reliability, and transparency across critical business data systems.


The position focuses on implementing automated validation, monitoring, and governance practices that prevent data issues before they impact operations.


You will collaborate with engineering, product, quality, and support teams to establish scalable data standards and best practices.


This is a high-impact opportunity for a senior data professional who enjoys solving complex data challenges and driving continuous improvement.


You will help shape the future of data reliability through innovative engineering solutions, automation, and cloud-based technologies.


Accountabilities
The Senior Data Engineer - Data Quality & Observability will lead the design and implementation of scalable data quality frameworks, ensuring enterprise data assets remain accurate, reliable, and actionable. The role combines technical execution, process improvement, and cross-functional collaboration to establish strong data governance and observability practices.

- Design and implement a scalable enterprise data quality framework across data platforms and business domains.
- Lead the implementation and operationalization of GX Core (Great Expectations) or similar data validation solutions.
- Develop reusable data quality rules using a Rule-as-Code approach.
- Build automated validation checks for critical datasets, workflows, and operational processes.
- Implement data observability solutions, including monitoring, alerting, reporting, and quality dashboards.
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