Data Governance & Quality Engineer

Accountabilities

• • Implement, configure, and maintain data governance capabilities across Informatica Cloud Data Governance & Catalog, AXON, and related platforms.
  • Develop and maintain data governance standards, quality frameworks, policies, stewardship workflows, and data quality rules.
  • Configure and manage data quality rules, profiling processes, monitoring mechanisms, and quality scorecards using Informatica CDQ and IDQ.
  • Integrate data catalogs with databases, ERP and CRM platforms, cloud storage, Databricks, and other enterprise data sources through appropriate scanners and catalog sources.
  • Support governance of Databricks Lakehouse environments by aligning Unity Catalog lineage, metadata, and classification with enterprise governance requirements.
  • Collaborate with data owners, stewards, technical teams, and business stakeholders to define data standards, quality expectations, and governance requirements.
  • Establish and maintain end-to-end data lineage and traceability across critical data assets and processes.
  • Support compliance with applicable data privacy, regulatory, and organizational governance requirements.
  • Apply AI-enabled capabilities such as CLAIRE to accelerate data quality rule creation, metadata classification, and governance documentation.
  • Monitor and improve data quality processes, identifying gaps and opportunities to strengthen the reliability and usability of enterprise data.
  • Contribute to governance platform modernization initiatives, process improvements, and the evolution of data management practices.
  • Communicate effectively with technical and non-technical stakeholders to promote adoption of data governance standards and quality practices.

  Requirements

  • 5+ years of professional experience in data governance, data quality, metadata management, or a closely related discipline.
  • Hands-on experience with Informatica Cloud Data Governance & Catalog (CDGC) and Informatica Cloud Data Quality (CDQ) or Informatica Data Quality (IDQ).
  • Strong understanding of data catalogs, metadata management, data classification, data lineage, and data stewardship.
  • Demonstrated experience creating, implementing, and monitoring data quality rules, profiling processes, and quality scorecards.
  • Knowledge of business glossaries, governance policies, data standards, stewardship models, and governance frameworks.
  • Experience integrating governance and cataloging platforms with databases, cloud environments, business applications, or other enterprise data sources.
  • Strong understanding of data privacy, regulatory requirements, and the importance of traceability and data controls.
  • Ability to work collaboratively with business stakeholders, data owners, technical teams, and other cross-functional groups.
  • Strong analytical and problem-solving skills, with the ability to identify data quality issues and translate business requirements into effective governance solutions.
  • Relevant Informatica CDGC or IDMC certification is preferred.
  • Experience with AXON and AXON-to-CDGC modernization is an advantage.
  • Familiarity with Databricks Unity Catalog and Lakehouse governance is a plus.
  • Exposure to Informatica CLAIRE and AI-enabled data governance capabilities is desirable.
  • Familiarity with OneTrust, Microsoft Purview, Collibra, Monte Carlo, or similar data governance and quality platforms is beneficial.
  • Knowledge of DAMA-DMBOK and GDPR is an advantage.
  • Additional certifications in data governance, Databricks, or Azure are considered a plus.
  • Strong English communication skills and the ability to work effectively within a global, remote environment.

  Benefits

  • Competitive compensation of $23–$28 USD per hour.
  • Remote opportunity available across LATAM, including Brazil, Mexico, Chile, and Peru.
  • Opportunity to work with a global client on enterprise-scale data governance and quality initiatives.
  • Exposure to modern Informatica Cloud technologies, Databricks, data catalogs, lineage, privacy tooling, and AI-enabled governance capabilities.
  • Opportunity to develop expertise across data governance, data quality, metadata management, and enterprise data architecture.
  • Collaborative and innovative environment with opportunities to work alongside international technology and business teams.
  • Professional growth opportunities through exposure to complex, global data transformation initiatives.
  • Inclusive workplace committed to diversity, equal opportunity, and collaboration