Job Summary: We are looking for an inquisitive Data Architect focused on results and interested in transformation and digital innovation to improve the lives of our customers and citizens. Key Highlights: 1. Focus on results and digital innovation 2. Improving customers' and citizens' lives 3. Developing reference data architectures and standards **Job Description** --------------------- Our team consists of **inquisitive** people focused on results and interested in the environment of **digital transformation and innovation**. At Vertigo Technology, we help improve the lives of our customers and citizens as a whole. We are looking for a **Data Architect** who wants to grow with Vertigo! **\#GoVertigo** **Responsibilities and Duties** ----------------------------------- * Design reference data architectures for data ingestion, storage, processing, preservation, and dissemination; * Define architectural standards for data lakes, data warehouses, data spaces, data cubes, and knowledge graphs; * Design cloud-based service architectures enabling diverse data processing pipelines, data interoperability, and AI model training; * Ensure compliance with security, data sovereignty, scalability, performance, and governance requirements; * Integrate data governance requirements into architectural decisions; * Define MLOps and DevSecOps standards jointly with data and AI teams; * Collaborate closely with governance, data engineering, infrastructure, and AI teams; Document architectures, technical decisions, and adopted standards. * **Requirements and Qualifications** ------------------------------ * Reside in Rio de Janeiro, Brasília, or Campinas; * Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or related field; * Minimum 5–7 years of experience in data architecture or equivalent roles; * Experience with critical, distributed, and high-volume data environments. **Preferred Qualifications** ---------------- * Data architectures (Lakehouse, Lambda, Kappa); * Public, private, and hybrid cloud environments; * Containers and orchestration (Docker, Kubernetes); * Infrastructure as code (Terraform or similar); * Interoperability standards and APIs; * Best practices and tools for MLOps and DevSecOps; * Hands-on experience with relational, columnar, document, and graph databases. Do you want to join our team? **Apply now and embark on this journey with us!**