Data Quality & Governance specialist
As a Data Quality & Governance specialist, you will own the DQ program and act as a bridge between Data and Business teams
Responsibilities:
Data Quality
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Own the end-to-end Data Quality program: SLAs, monitoring, testing, issue resolution and continuous improvement.
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Drive requirements gathering with business and data teams to define and document technical and business data quality rules.
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Build and maintain dbt-based Data Quality tests across the medallion architecture (Bronze / Silver / Gold layers).
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Build DQ dashboards and lead root-cause analysis to improve trust in data.
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Build and maintain the enterprise data catalog and business glossary, ensuring metadata, ownership, lineage, and business definitions remain accurate, documented, and discoverable.
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Partner with domain teams to capture institutional knowledge and translate business context into shared metadata, glossary definitions, classifications, and governed semantic context.
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Enable trusted and reusable data foundations for analytics and AI use cases by improving discoverability, context, and governance of data assets.
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Support governance and compliance practices for sensitive and regulated data.
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Act as the bridge between Data and Business teams on definitions, ownership, trust, and governance decisions.
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Facilitate workshops with domain owners to define business rules and data contracts.
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Drive data discoverability and become the trusted point of contact for data meaning and reliability.
Data Governance
Cross-Functional Leadership
What you’ll need:
3+ years in Data Quality, Governance.
Hands-on experience running Data Quality and Data Governance initiatives in production.
Strong DBT and SQL skills.
Experience with data cataloging tools like OpenMetadata, DataHub, Collibra, or similar.
Experience building DQ dashboards and communicating with business stakeholders.
Strong ownership and ability to work independently.