Are you passionate about building reliable, scalable data platforms and improving data quality at an enterprise level? We are looking for a Senior Data Engineer – Data Quality & Observability to lead the implementation of a modern data quality framework, enabling engineering teams to detect, monitor, and prevent data issues before they impact business operations.

In this role, you'll drive the implementation of engineering-owned data quality practices, operationalize GX Core, establish validation standards, and build observability solutions that improve confidence across reporting, synchronization processes, and operational workflows.

Responsibilities
- Design and implement a scalable data quality framework across the platform.
- Lead the implementation and operationalization of GX Core (Great Expectations) as the primary data validation framework.
- Develop and maintain reusable data quality rules using a Rule-as-Code approach.
- Create automated validation checks for business-critical datasets and workflows.
- Implement data observability, monitoring, alerting,



and reporting solutions.
- Define and maintain data lineage across key business domains.
- Design validation processes for data completeness, accuracy, integrity, consistency, reconciliation, freshness, and anomaly detection.
- Integrate data quality validations into CI/CD pipelines and release processes.
- Develop dashboards and reports to monitor data quality trends and operational health.
- Investigate root causes of recurring data issues and implement preventive solutions.
- Collaborate with Data Engineering, Application Engineering, QA, Product, and Support teams to establish ownership and governance for data quality.
- Define standards for governance, validation frequency, remediation workflows, and quality metrics.
- Continuously improve data quality processes and establish long-term observability best practices.

Requisitos
- 5+ years of experience as a Data Engineer or in similar data engineering

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📍 El Arca