Data Governance & Quality Engineering

Job Description We are looking for a Senior Data Quality & Governance Engineer who will take ownership of enforcing data contracts, quality, and metadata standards across intelligence and analytics platforms. This role involves designing lineage models, implementing statistical validations, and establishing reusable quality dashboards—all using AWS-native and lightweight open-source tools.

Responsibilities

● Design and enforce data contracts across Raw → Clean → Modeled zones.

● Define schema versioning policies, KPI logic, and metadata rules across business-critical datasets. ● Implement row-level and statistical validations using Great Expectations or Deequ.

● Create audit-ready QA tables to track failed checks, schema mismatches, and data regressions.

● Track end-to-end lineage and KPI evolution using OpenMetadata (with Glue/S3/Athena).

● Auto-classify columns as PII, derived, or forecast-driving fields using AWS Glue Tags/Scripts.

● Provide CTAS-based Athena queries for building QA dashboards and UAT verifications.

● Build BI-ready, QA-approved datasets for downstream tools like Superset and Power BI.

● Establish reusable profiling and validation dashboards for data quality and business teams.

● Collaborate with engineers, QA, and business SMEs to finalize data validation logic.

Mandatory Skills -

Regards

Sahiba

8296043355