Data Governance GCP

Worldwide | Oct. 24, 2026

Report as Closed

Company: DSAC Chile

Country: Worldwide

Type: Remote

Employment: Full-time

Description: DSAC is a Chilean technology company specialized in the development of technological solutions, artificial intelligence, cybersecurity and automation for companies seeking to improve their efficiency and generate real impact on their business. None

• University degree in Computer Engineering, Industrial Civil Engineering, Statistics or related field.
• At least 5 years of experience in data, of which at least 3 in government or data quality roles.
• Experience in banking, payment methods or fintech, working with sensitive and regulated data.
• Experience implementing government models and quality programs in productive environments.
• Knowledge of data frameworks. data governance (DAMA-DMBOK, DCAM or similar).
• Experience in rules, metrics and data quality monitoring.
• Metadata management, catalog, glossary and lineage.
• Security and privacy in GCP: IAM, encryption, DLP, column and row-level security.
• Data modeling and data lake / data warehouse architectures in GCP.
• Tools: BigQuery, Dataplex, Data Catalog, Cloud DLP / Sensitive Data Protection, IAM and policy tags, advanced SQL.

Competencies that we value Business vision, rigor, effective communication, influence without authority, results orientation, pedagogical capacity, analytical thinking and collaborative work.

At DSAC we develop technological solutions and form specialized teams for leading companies in Chile. Today we are looking for a Data Governance Senior to join a project in a fintech in the regulated financial sector, which operates on Google Cloud Platform and manages critical information on clients, accounts, cards, payments, fraud and risk.

You will join the Data Platform team, responsible for the company's data platform, and you will work closely with AI and Data Science, data engineering, architecture, information security, risk, compliance, product and areas of business.

Your role will be key so that the company can trust its data. In a fintech, the quality, security and traceability of information directly impacts business decisions, fraud and risk management, AI models and compliance with regulatory requirements such as CMF, personal data protection and PCI DSS.

Your mission will be to ensure that the data is reliable. We are not looking for someone focused primarily on building pipelines or designing architecture, but rather a person capable of defining the rules, controls and roles that ensure the quality, security and traceability of information, and ensuring that teams adopt them in their daily lives. You will work alongside the Data Platform team and interact with AI and Data Science, data engineering, architecture, information security, risk, compliance, product and business areas. Modality: 100% Remote LATAM

What will you do?

• Define and implement the data governance framework: policies, standards, roles and procedures.
• Establish the ownership model (data owners, data stewards and custodians) by domain: clients, accounts, cards, payments, fraud and risk.
• Lead the data governance table and the prioritization of initiatives.
• Define dimensions, rules and quality thresholds for critical data (completeness, accuracy, consistency, uniqueness and timeliness).
• Implement automated quality controls in GCP pipelines (Dataplex Data Quality, dbt tests, Great Expectations or similar).
• Build quality monitoring dashboards and manage incidents: detection, root cause, remediation and monitoring.
• Implement and maintain the data catalog in Dataplex. / Data Catalog, with business glossary, technical dictionary and end-to-end lineage.
• Identify and document Critical Data Elements (CDE) and regulatory assets.
• Classify sensitive and personal data, and define access policies (IAM, policy tags, column and row-level security in BigQuery).
• Coordinate with security, risk and compliance compliance with CMF regulations, protection of personal data and PCI DSS, and -prepare evidence for audits.
• Train technical and business teams, measure data governance maturity and report progress.

Remote

• Google Cloud Certification (Professional Data Engineer or Cloud Architect).
• CDMP Certification (DAMA) or similar.
• Knowledge of CMF regulations, Fintec Law and Law 21,719 on personal data protection.
• Experience enabling reliable data for AI models and advanced analytics.
• Management of dbt, Great Expectations, Collibra / Atlan, Cloud Composer, Looker / Looker Studio and Python.

Apply here:

Web: Apply here

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