**Senior Data Architect – AWS (Data Engineering & Data Science)** Technical role description We are seeking a Senior Data Architect with advanced experience in Amazon Web Services (AWS) to design, implement, and evolve scalable data architectures. The role leads the building and operation of the corporate data lake, as well as the development and industrialization of analytical and predictive models focused on commercial growth, upsell, and churn reduction. Technical responsibilities * Design AWS-based data architectures following principles of scalability, security, and high availability. * Implement and manage AWS services: S3, Glue, Redshift, EMR, and EC2. * Define and maintain data ingestion and transformation pipelines (batch and near real-time). * Govern the corporate data lake and its layers (raw, curated, analytics). * Develop, validate, and deploy predictive and analytical models for acquisition, retention, and monetization. * Automate data and analytics processes using scripts and orchestration. * Optimize platform performance, costs, and security. * Collaborate with product, business, and technology teams in defining data-driven solutions. Academic requirements * Completed Bachelor’s degree in Information Systems, Computer Engineering, IT Engineering, or related field. * Degree from a prestigious private institution (mandatory requirement). Required technical knowledge * AWS service architecture (Advanced). * AWS services: S3, Glue, Redshift, EMR, EC2 (Advanced). * Data architecture and data lake design (Advanced). * Programming in Python and R (Intermediate; R required). * Development and implementation of predictive and analytical models. * Relational and non-relational databases (Intermediate). * PostgreSQL (Intermediate). * ETL processes / Integration Services (Intermediate). * Data process automation (Intermediate). * Excel (Advanced). **Send your CV to 5516404825 for more details about the vacancy** Job type: Full-time Salary: $60,000.00 - $70,000.00 per month Work location: On-site