Job Role
:-Data Quality & Governance Engineer
Job Locatio
n:-Abu Dhabi, UAE
Experience
:-5+ Years
Role Summary
Ensure enterprise data platforms deliver trusted, traceable, and governed datasets by embedding data quality, lineage, and governance controls across pipelines and analytics layers.
Key Responsibilities
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Define and enforce data contracts including schema validation, nullability, referential integrity, and freshness rules
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Implement row-level and aggregate-level data quality checks within pipelines
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Design reconciliation and consistency validations to prevent data corruption
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Establish dataset SLAs and quality thresholds for controlled data promotion and consumption
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Implement lineage and metadata standards to enable auditability and root cause analysis
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Define semantic standards for governed analytics and AI consumption
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Ensure datasets exposed to analytics tools meet governance and quality requirements
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Design scalable quality enforcement patterns without impacting performance or cost
Secondary Responsibilities
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Optimize placement of validations based on pipeline execution flow
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Integrate data quality controls into CI/CD and workflow orchestration
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Support audit, compliance, and regulatory traceability requirements
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Collaborate with engineering and platform teams to improve overall data trust maturity
Required Skills & Experience
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Strong expertise in data quality frameworks and governance implementation
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Hands-on experience with Unity Catalog, lineage, and metadata management
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Experience embedding data validations in Spark/Databricks pipelines
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Understanding of SLAs, reconciliation patterns, and data contracts
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Exposure to CI/CD integration and production data operations
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Strong analytical and problem-solving skills