• Design and develop data pipelines • Optimize data storage and retrieval processes • Collaborate with cross-functional teams on data projects • Ensure data quality and integrity • Stay up-to-date with industry trends and technologies

• Desenvolver e manter pipelines de ingestão, transformação e disponibilização de dados • Projetar e implementar soluções de dados escaláveis e eficientes • Construir e otimizar processos ETL/ELT • Garantir a qualidade, governança e confiabilidade dos dados • Trabalhar em conjunto com times de Analytics, BI, Engenharia e Negócios • Monitorar e aprimorar a performance dos ambientes e fluxos de dados

• Support development and implementation of enterprise data governance and architecture strategies • Establish and maintain data standards, policies, and governance frameworks • Support metadata management, data stewardship, and data lifecycle activities • Partner with stakeholders to align data architecture and governance practices with mission objectives • Assess and improve data quality, integrity, and accessibility across systems • Support enterprise data modernization and transformation initiatives • Contribute to architecture planning and platform alignment activities • Facilitate collaboration across technical, operational, and leadership stakeholders • Identify risks, gaps, and opportunities related to enterprise data management • Support governance adoption, organizational change, and continuous improvement efforts

• Participates in planning, definition, and high-level design of data solutions, exploring alternatives and evaluating new technologies. • Develops and maintains scalable cloud-based data infrastructure, ensuring alignment with the organization's decentralized data management strategy. • Designs and implements ETL pipelines using AWS services (e.g., S3, Redshift, Glue, Lake Formation, Lambda) to support data domain requirements and self-service analytics. • Collaborates with data domain teams to design and deploy domain-specific data products, adhering to organizational standards for schema design, data transformations, and storage solutions. • Establishes and enforces data governance practices, including compliance with data privacy, access controls, and lineage requirements, across the organization’s data assets. • Maintains a comprehensive data catalog and governance tools, automating workflows to uphold data integrity and ensure discoverability across all domains. • Leads the implementation and ongoing support of data mesh architecture, ensuring seamless integration and data flow across multiple domains. • Ensures the availability and reliability of the organization’s Data Mesh software, managing operations and maintenance of the framework. • Provides guidance and leadership on the cultural adoption of data mesh principles, including organizational training initiatives for data stewards and users. • Communicates effectively with stakeholders to align technical data architecture with business goals, ensuring long-term support for analytics, insights, and innovation. • Experience working in an Agile organization using Scrum, Kanban, Jira, Confluence, and SAFe. • Provide team specific training as needed.