Rehire

Data Governance & Quality Engineer (Senior)

AWS
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About the opportunity

We are looking for a Senior Data Governance & Quality Engineer to join a data team focused on the implementation and operation of enterprise-scale data governance and quality platforms in cloud and multi-cloud environments.

The position is aimed at professionals with solid experience in Data Governance and Data Quality implementations in corporate environments, focusing on defining rules, standards, and quality models that enable data usage in analytics, reporting, and Artificial Intelligence.

Responsibilities

  1. Implement and maintain the Data Governance platform on Informatica CDGC and AXON.
  1. Configure and manage data quality rules, policies, and stewardship workflows in CDQ/IDQ.
  1. Integrate the data catalog with multiple sources (databases, ERP, CRM, cloud, and Databricks) using scanners and catalog sources.
  1. Manage the governance of the Databricks Lakehouse, aligning lineage and classification of Unity Catalog with CDGC.
  1. Collaborate with data owners and business stakeholders in defining data quality standards and rules.
  1. Ensure traceability, end-to-end lineage, and regulatory compliance of data assets.
  1. Utilize CLAIRE to support rule definition and metadata classification.

Requirements

  1. Between 7 and 12 years of experience in Data Governance, Data Quality, or similar roles.
  1. Proven experience in enterprise data governance and quality implementations (hands-on, not just advisory).
  1. Proficiency in Informatica IDMC: CDGC, CDQ/IDQ, and AXON (mandatory).
  1. Experience with Databricks Unity Catalog (cataloging, lineage, and asset classification).
  1. Experience integrating governance tools with privacy solutions like OneTrust.
  1. Knowledge of frameworks and standards such as DAMA-DMBOK and GDPR.
  1. Advanced English (B2/C1) mandatory, with the ability to interact with technical teams and international stakeholders.
  1. Informatica Cloud Data Governance and Catalog (ICP) certification mandatory. Will be

valued

  1. Experience with complementary cloud tools such as Microsoft Purview/Fabric, Azure Data Factory, AWS Glue Data Catalog, Lake Formation, or Redshift.
  1. Knowledge of Collibra and/or Monte Carlo.
  1. Experience in MDM SaaS / Reference 360.
  1. Experience with CLAIRE Agents for lineage and stewardship.
  1. CDMP (DAMA), Databricks, or Azure Data Engineer (DP-203) certifications.

About the position

Schedule: Monday to Friday from 9:00 to 18:00 (CDMX Time - GMT-6)

Location: Latin America

Modality: 100% remote.

Compensation: Salary in USD.

Contract Type: Contractor.

Participation in international projects for data platform transformation and modernization.

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