We are seeking a Data Governance & Quality Engineer to join our platform engineering team to help strengthen our data management, quality, and stewardship capabilities across a modern data ecosystem spanning GCP, Databricks, and MDM solutions.
This role is critical for configuring and managing Informatica, Unity Catalog, and data quality tools, establishing rule-based and automated data validation workflows, and supporting data stewardship workflows to ensure trusted and compliant data across LBUs.

Key Responsibilities :

- Configure, administer, and optimize Informatica Data Quality (IDQ), Informatica Axon/EDC, and Unity Catalog for data governance and metadata management.

- Define and implement data quality rules and checks across platforms such as Databricks, BigQuery, Informatica, and DBT.

- Develop profiling, validation, and monitoring frameworks to continuously measure data quality KPIs (completeness, accuracy, timeliness, uniqueness, etc.

- Collaborate with data stewards and business teams to formalize data ownership, glossaries, and stewardship workflows.

- Establish lineage and impact analysis across pipelines using cataloging tools (Informatica EDC/Unity Catalog/DataHub/etc.

- Integrate data quality checks into CI/CD pipelines to ensure pre-deployment validations.

- Work closely with platform, MDM, and security teams to ensure compliance with enterprise data governance standards and regulatory policies.

- Support MDM-related governance efforts by coordinating master data definitions, hierarchies, and golden records.

Must-Have Skills :

- 6-10 years of experience in data engineering, governance, or data quality roles.

- Hands-on experience with: Informatica Data Quality (IDQ) or Axon/EDC Unity Catalog (Databricks) configuring access control, lineage, metadata DBT defining validation rules in transformation layer BigQuery and Databricks integrating quality checks or observability.

- Strong understanding of data stewardship principles, metadata management, and data lifecycle policies.

- Experience building data quality dashboards, alerts, and monitoring rules.

- Familiarity with data catalogs, business glossaries, and data domain modeling.

Nice-to-Have Skills :

- Experience with DataHub, Collibra, or open metadata frameworks.

- Exposure to MDM tools and workflows (golden record creation, survivorship rules, etc.

- Working knowledge of data privacy, access management, and sensitive data handling.

Preferred Certifications :

- Informatica Data Quality Specialist Certification.

- Databricks Lakehouse Fundamentals / Unity Catalog Specialist.

- GCP Data Engineer or Professional Data Stewardship certification.