01Responsibilities
1. Data Quality Monitoring & Resolution
Own the data quality control surface across key data products and pipelines.
Define, implement, and monitor automated data quality rules and checks using Soda or equivalent tooling.
Investigate data quality issues, identify root causes, and coordinate resolution with Data Engineering teams.
Track data quality metrics and trends, and report on improvements or emerging risks.
Maintain a clear backlog of known data issues, prioritized by business impact.
2. Metadata, Cataloging & Lineage
Own the integrity of metadata, glossary, and lineage in the enterprise data catalogue.
Maintain and improve metadata, business glossary entries, and data lineage in Atlan or equivalent catalogue platform.
Partner with Data Engineering and Product teams to ensure new data assets are properly cataloged, documented, and assigned ownership.
Support discoverability of data assets by ensuring descriptions, classifications, and ownership information are current and maintained to a documented standard.
3. Governance Process Support
Support the execution of data governance policies, standards, and controls across data domains.
Help coordinate data stewardship activities, including issue triage and resolution workflows.
Support audits and compliance reviews by providing evidence of governance and quality controls.
Identify and surface gaps in governance coverage across new or evolving data products.
4. Stakeholder Collaboration & Enablement
Work with Data Product Managers and Analysts to clarify data definitions and quality expectations.
Provide guidance to data consumers on interpreting metadata, lineage, and quality indicators.
Communicate clearly on data quality status, issues, and remediation progress to stakeholders.
Works across Data Engineering, Architecture, and business teams to embed data quality and governance controls.
Contribute to training and documentation that raises governance and quality awareness across teams.
Experience, Skills, and Knowledge
Qualifications
Required
Bachelors degree in Computer Science, Information Systems, Engineering, or a related field. Masters degree preferred.
47+ years of experience in data governance, data quality, data management, or related analytical roles.
Hands-on experience with data quality tooling: Soda, or equivalent (Great Expectations, Monte Carlo, Collibra DQ, Informatica DQ, Anomalo, Ataccama).
Experience with data catalogue and metadata platforms: Atlan, or equivalent (Collibra, Alation, Purview, Informatica EDC).
Strong SQL skills, with the ability to investigate and validate data quality issues directly.
Strong grasp .
