• Estamos constantemente em busca de Engenheiros(as) de Dados que queiram construir soluções escaláveis, trabalhar com grandes volumes de dados e atuar em projetos estratégicos envolvendo Plataformas de Dados, Cloud e IA. • Mesmo que não tenhamos uma vaga aberta no momento, ao se cadastrar em nosso Banco de Talentos, seu perfil ficará disponível para futuras oportunidades alinhadas à sua experiência, interesses e momento de carreira.

• Data Warehousing: Owning and evolving our data pipelines into BigQuery, leading efforts to improve performance, scalability, and cost-efficiency. • Data Transformation: Architecting and implementing advanced data models using DBT, establishing best practices for testing, documentation, and code quality. • Integration: Leading the design and implementation of integrations with Segment and other third-party sources, ensuring data consistency and reliability across the platform. • Project Leadership: Taking ownership of complex data projects, from gathering requirements with BI, Marketing, and Data Science teams to delivering robust, production-ready solutions. • Mentorship: Guiding and mentoring other data engineers, leading code reviews, and fostering a culture of technical excellence and continuous improvement.

• Spearhead the migration of existing workloads to the Iceberg format, establishing and maturing the foundational lakehouse architecture. • Architect and construct robust batch and streaming data pipelines utilizing Spark and Flink technologies. • Collaborate closely with the Backend Engineering team on API integrations and the establishment of formal data contracts. • Contribute to the development of a unified lineage and governance framework utilizing DataHub. • Provide comprehensive support to the Core Team in the successful adoption of new data platform capabilities.

• Design and implement enterprise data architecture, including data models and integration patterns, to establish a single source of truth for member and donor data. • Implement and manage NetSuite Analytics Warehouse (NSAW) as the primary analytics platform for the organization. • Develop and maintain high-value Power BI dashboards for leadership and operational teams to enable data-driven decision making. • Design and build automated data integration pipelines (ETL/ELT) between NetSuite, M360suite, Klaviyo, and payment gateways. • Define and document data governance policies, including metric definitions, data quality rules, and access controls. • Monitor data pipeline performance, troubleshoot failures, and implement automated error handling to ensure system reliability. • Investigate and resolve data quality incidents (e.g., duplicates, sync failures) and implement monitoring to detect anomalies. • Enable self-service analytics by creating user-friendly data models and training staff on tools to reduce ad-hoc report requests. • Ensure data handling practices comply with relevant regulations (e.g., PCI-DSS) and implement appropriate access controls. • Serve as technical advisor to IT leadership data strategy, recommending technologies and best practices to advance organizational capabilities.