Data Governance & Data Platform Architect (Manager Lead)
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Job description
The position will be responsible for evolving the global governance operating model, ensuring data standards are embedded by design into the enterprise Lakehouse architecture, and coordinating governance practices across multiple countries. You will act as a key bridge between Business Domains, Data Engineering, and Architecture, ensuring that governance principles, regulatory requirements, and data quality standards are consistently applied across the global ecosystem. This is not a pure engineering role, but a governance leadership position with architectural oversight and technical depth. What you'll do Lead and evolve Getnet Global's data governance and data platform capabilities to enable trusted, scalable, and business?driven data products across all countries and global teams, supporting regulatory compliance, operational excellence, and advanced analytics/AI use cases. Looking for a Data Governance & Data Platform Manager with strong team?leadership experience and a strategic vision for data, responsible for driving data governance, data quality, and the enterprise data platform. This role will lead multidisciplinary teams-both technical and functional-and coordinate data ingestion and standardization initiatives across multiple countries, ensuring their integration within the Lakehouse ecosystem. The position requires a balanced combination of leadership, technical expertise, and management skills in Agile environments, as well as a strong focus on structured documentation in Jira and Confluence. Lead and develop multidisciplinary teams (Data Governance, Data Engineering, Data Platform) in an Agile environment. Define clear objectives, assign responsibilities, and ensure efficient and coordinated execution in a multi?country context. Foster a culture of collaboration, technical excellence, and ownership within the team. Oversee task prioritization, resource allocation, and the resolution of blockers. Drive team maturity in Agile practices, ensuring consistency in Scrum ceremonies and continuous improvement. Data Governance Design and lead the implementation of the data governance strategy, including data quality, lineage, metadata, security, and standardized data models. Supervise the use and operations of data?governance tools (cataloging, quality, lineage, MDM) and their integration with automated, AI?based models. Ensure comprehensive documentation of architecture, processes, decisions, and standards. Support regulatory and audit requirements related to data management and traceability. Define and evolve the global data operating model (roles, responsibilities, data ownership, stewardship model). Establish governance forums and decision?making bodies (Data Council, Domain Data Owners, etc.). Ensure alignment with Group data policies and regulatory frameworks. Data Platform Define and track KPIs for data quality, platform adoption, and data value realization. Oversee the integration and evolution of the Data Lake/Datamart using technologies such as Databricks, Unity Catalog, etc. Coordinate data ingestion from multiple countries, ensuring harmonization and compliance with corporate standards. Ensure traceability, integrity, and full documentation of the data lifecycle. Agile Methodology, Documentation & Tools Lead Scrum operations across teams: planning, refinements, progress tracking, and retrospectives. Ensure comprehensive and up?to?date documentation in Jira, including epics, user stories, acceptance criteria, and task workflows. Maintain solid Confluence documentation, covering architecture, processes, integrations, standards, and key decisions. Ensure proper integration of Agile practices into the global data strategy. Business & Stakeholder Alignment Act as the bridge between data platform capabilities and business domains (Risk, Finance, Operations, CRM and data product teams globally and locally). Promote a data?as?a?product mindset across countries and domains.
Requirements
Degree in Engineering, Computer Science, Telecommunications, Mathematics, or equivalent., 8-10 years of experience in data?related roles within the Santander Group, leading both technical and functional teams. Experience within PagoNxt will be highly valued. Experience with federated and domain?oriented data architectures. Experience with Data Lakes and platforms based on Databricks. Experience managing backlogs and applying Agile methodology. Strong command of Jira and Confluence. Experience with cloud environments (AWS, Azure, GCP). Knowledge of data security and access control models. Experience defining Data Governance frameworks from scratch or scaling them globally. Experience implementing or managing tools such as Openmetada or other data governance tools. Experience defining data quality metrics and monitoring frameworks. Experience driving adoption of enterprise data platforms. Strong leadership and demonstrated ability to manage complex teams. Strategic vision and critical thinking. Excellent communication skills with technical, business, and executive stakeholders. Results?driven mindset and commitment to operational excellence. Ability to lead change in large and regulated organizations. Experience working in global, multi?country organizations. Strong negotiation and influencing skills in matrix organizations. What we offer Access to self?development programmes. Hybrid collaborative environment: Successful candidate must be prepared to work 60% on site.