• Engenheiro de Dados Sênior • Trabalhar com tecnologia para transformação e diversidade

• Identify and connect Naveera with potential clients or decision-makers • Introduce and position Naveera’s capabilities within your network • Support initial conversations and relationship building • Collaborate with our team during deal qualification (optional)

• Lead Generation & Prospecting • Build and maintain a strong pipeline of enterprise prospects • Manage outbound sales efforts • Schedule and conduct discovery calls with decision-makers • Own end-to-end sales cycle from lead generation to deal closure • Build long-term client relationships • Achieve monthly/quarterly lead generation and revenue targets • Stay updated on enterprise AI, data engineering, and cloud trends

• Lead the Data Engineering and Data Science Engineering function for IAA, setting technical vision, delivery strategy, and operating rhythm • Build and evolve scalable data platforms, BI architecture, and ML-enablement capabilities using the Azure data and analytics stack • Drive strategy and execution across Microsoft Fabric, Synapse, Power BI, Azure BI technologies, and modern cloud data platforms • Partner with business and functional leaders to solve high-value problems across Operations, Sales, Marketing, Product, and other key areas • Guide the design and implementation of robust pipelines, semantic models, dashboards, self-service analytics, forecasting solutions, and machine learning systems • Help shape the roadmap for advanced analytics, predictive modeling, experimentation, and AI-driven insights • Mentor, coach, and grow data engineering and data science talent while raising the technical bar across the team • Establish strong engineering practices across architecture, delivery quality, scalability, governance, and operational excellence • Collaborate closely with engineering leaders and cross-functional teams to ensure data and AI solutions are aligned with platform, product, and business priorities • Act as a senior thought partner to leadership on data strategy, technical tradeoffs, and investment priorities