Smarthis

Data Engineer

• Gather and refine data requirements with business stakeholders and technical teams
• Design end-to-end data architectures (ingestion, processing, storage and consumption)
• Evaluate technical alternatives considering cost, risk, complexity and time-to-market
• Build and evolve the Data Map (domains, sources, pipelines and consumers)
• Define data modeling standards and taxonomy
• Participate in data classification and governance (including LGPD — Brazilian Data Protection Law)
• Produce architecture artifacts (HLD, LLD, ADRs and diagrams)
• Lead Architecture Review sessions
• Work closely and collaboratively with Engineering, Platform, Security, Analytics and Product teams
• Support the evolution of data architecture standards and governance

Data Architect – Data Architecture, Data Map

Events

• Levantar e detalhar requisitos de integração com negócio e times técnicos
• Definir estratégias de integração (APIs, eventos, filas, arquivos, etc.)
• Desenhar fluxos ponta a ponta (síncronos e assíncronos)
• Definir padrões arquiteturais (event-driven, API-led, saga, entre outros)
• Mapear e manter o catálogo de integrações e interfaces
• Definir contratos de APIs e eventos (OpenAPI, AsyncAPI, versionamento e compatibilidade)
• Estabelecer padrões de integração (idempotência, retries, circuit breaker, etc.)
• Definir padrões de segurança (OAuth2, mTLS, JWT, etc.)
• Produzir artefatos técnicos (HLD, LLD, ADRs e diagramas)
• Conduzir Architecture Reviews e apoiar times na implementação
• Atuar junto aos times de Plataforma, Segurança e Engenharia
• Criar e evoluir padrões, templates e boas práticas

Arquiteto de Integrações – APIs, Event-Driven

Software Engineer

• Develop AI and generative AI applications with LLMs using Python.
• Design and implement autonomous agent architectures and AI workflows (LangGraph, CrewAI, or similar).
• Build data pipelines and RAG (Retrieval-Augmented Generation) solutions for data ingestion, transformation, and intelligent use of data.
• Integrate language models and AI services into enterprise applications via APIs and microservices.
• Deploy, monitor, and evolve AI solutions in cloud environments, ensuring scalability and performance.
• Work with product and engineering teams to turn business challenges into AI-based solutions.

Data Architect – Data Architecture, Data Map

Arquiteto de Integrações – APIs, Event-Driven

AI Developer, LLMs & Agents