• Review and refine AI-generated content focused on data modeling, storage solutions, data governance, and system integration • Assess the accuracy, clarity, and technical soundness of AI outputs related to data architecture and management • Design and enhance realistic data architecture scenarios and case studies • Generate scenario variations from perspectives such as data architects, engineers, and analysts • Identify potential improvements or risks in AI-driven data solutions • Collaborate on developing AI-powered tools for data analysis, modeling, and reporting

• Desarrollo de procesos ETL en AWS (EMR, Step functions, BATCH, ECS, Fargate). • Desarrollo de funciones lambda. • Dar solución a incidencias en producción relacionadas con ETL y los componentes de la solución (Problemas escalabilidad, fallos memoria, time-out…).

• Lead the integration of customer data across web analytics, CRM, marketing automation and related platforms • Architect and manage the migration from Adobe Analytics to CJA, ensuring seamless data flow and reporting • Collaborate with Adobe and team members to establish and improve our AEP foundation • Build a marketing attribution model using AEP and CJA insights • Guide communication between business and technical teams, translating requirements into data solutions • Help develop data engineering pipelines to transform and analyze marketing and customer data • Analyze web and marketing performance data to create applicable insights on customer behavior, campaign effectiveness, and conversion optimization • Provide guidance on best practices for data governance, privacy, and tagging architecture • Contribute to the creation of dashboards and reports using tools like Tableau, Power BI, and Alteryx

• Lead the integration of customer data across web analytics, CRM, marketing automation and related platforms. • Architect and manage the migration from Adobe Analytics to CJA, ensuring seamless data flow and reporting. • Collaborate with Adobe and team members to establish and improve our AEP foundation. • Build a marketing attribution model using AEP and CJA insights. • Guide communication between business and technical teams, translating requirements into data solutions. • Help develop data engineering pipelines to transform and analyze marketing and customer data. • Analyze web and marketing performance data to create applicable insights on customer behavior, campaign effectiveness, and conversion optimization. • Provide guidance on best practices for data governance, privacy, and tagging architecture. • Contribute to the creation of dashboards and reports using tools like Tableau, Power BI, and Alteryx.