Data Platform Engineer

Get AI-powered advice on this job and more exclusive features. We’re looking for a Data Platform Engineer with solid backend and cloud experience to join our team and help build and scale robust data solutions. At Qubika, we design, develop, and deploy custom software solutions for organizations making an impact through technology. What we expect from you Experience: 5+ years of experience in backend or platform engineering. Technical Foundation: Strong backend development skills, experience building and deploying services in a cloud environment like AWS, and a solid understanding of infrastructure concepts. While our stack is Python-heavy, we value engineering principles over specific tool expertise. Problem-Solving Mindset: You can operate at multiple levels of abstraction, from high-level system design to hands-on coding. You approach unfamiliar tools and patterns with excitement and a desire to learn. Pragmatism and Agility: You are a practical thinker who can critically evaluate tools and ideas. You're comfortable building rapid prototypes and iterating on proofs-of-concept to find the best path forward. Clear Communicator: You can articulate complex technical ideas and proposals, fostering open and productive design discussions. Nice to Have Experience with our core stack: Databricks, Spark, Kafka, Airflow, Temporal, or dbt. Hands-on experience with Terraform and AWS services relevant to data platforms (e.g., S3, EKS, MSK, DMS, Glue). Familiarity with data engineering concepts or the machine learning lifecycle (MLOps). Personal projects or a demonstrated interest in exploring GenAI or other emerging technologies. Key Responsibilities Design and implement the next-generation orchestration layer, transforming it from a series of environment-specific instances into a unified, multi-tenant platform. Develop full-stack internal applications (Python backends, React frontends) that empower teams with self-service UIs for ingestion, transformation, and delivery. Enhance the MLOps platform to empower teams with self-service tools for the entire model lifecycle. Evolve and expand the core data and analytics stack, working with technologies like Kafka, Databricks, Spark, dbt, and Kubernetes to make advanced capabilities accessible to everyone. Collaborate closely with Data Engineering and Product teams to understand their needs, design robust solutions, and build the tools that accelerate their work. Move beyond the hype and contribute to the practical adoption of GenAI, focusing on applications that deliver real business value. Help define patterns and practices for building reliable, observable, and cost-effective GenAI systems in production. Build safe and effective sandboxes for developers to experiment with new tools and features. What we offer Exciting and innovative projects for disruptive start-ups and world-class companies. A creative working environment with a positive and collaborative atmosphere within an open-minded community. A senior team that offers mentorship opportunities to help you excel in your career. Various benefits include flexible work hours, ongoing skill development, language lessons, travel opportunities, engaging activities, expert talks, and more. This job opening includes people registered in the National Registry for Persons with Disabilities (Registro Nacional de Personas con Discapacidad - Ley N° 19.691) who meet the conditions and suitability for the position. If you require any accommodations during the application process, please reach out to us at accessibility@qubika.com. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology Industries IT Services and IT Consulting Referrals increase your chances of interviewing at Qubika by 2x Get notified about new Platform Engineer jobs in Latin America. #J-18808-Ljbffr