Data Pre-Sales Consultant

Há 4 horas

Brasil, BR SysMap Solutions Tempo inteiro

Estamos contratando um Engenheiro de Dados de Vendas para atuar como especialista técnico em pré-vendas, apoiando a definição e implementação de soluções inovadoras de Data & AI. Este profissional será responsável por conectar necessidades de negócio a arquiteturas robustas de dados e inteligência artificial, garantindo que as propostas apresentem valor estratégico e resultados concretos para os clientes.


Responsabilidades e Atribuições:


  • Qualificação técnica de leads: Realizar o primeiro contato e avaliar se o potencial cliente possui necessidade, capacidade e maturidade para adotar soluções de Data & AI;
  • Análise e diagnóstico: Investigar desafios e objetivos do cliente, identificando como soluções baseadas em dados e IA podem gerar valor e otimizar processos;
  • Design de soluções: Em colaboração com vendas e equipes técnicas, projetar soluções preliminares, definindo arquitetura de dados, modelos de IA e integração;
  • Demonstrações e apresentações: Preparar e conduzir apresentações claras e impactantes, traduzindo conceitos técnicos em benefícios de negócio;
  • Criação de PoC: Liderar ou apoiar provas de conceito para validar viabilidade técnica e demonstrar valor antes da contratação;
  • Suporte à equipe de vendas: Fornecer informações técnicas, estudos de caso e propostas comerciais para garantir comunicação estratégica do valor das soluções;
  • Estudo de mercado: Manter-se atualizado sobre tendências, inovações e soluções da concorrência para garantir competitividade.


Requisitos:


  • Habilidades técnicas em nuvem e dados:


  1. Conhecimento sólido em plataformas de nuvem (AWS, GCP, Azure);
  2. Proficiência em tecnologias como Snowflake, Databricks e DBT;
  3. Experiência em construção e arquitetura de soluções de dados (Data Lakes, Data Warehouses, pipelines).


  • Experiência em engenharia e arquitetura:


  1. Histórico comprovado como engenheiro ou arquiteto de dados em projetos complexos e de larga escala;
  2. Familiaridade com boas práticas de DataOps, segurança e otimização.


  • Orientação consultiva:


  1. Capacidade de definir e priorizar use cases com foco em valor para o negócio;
  2. Habilidade para traduzir tecnologia em benefícios e demonstrar ROI.


  • Conhecimento em IA:


  1. Compreensão de conceitos, frameworks e aplicações de IA e Machine Learning;
  2. Experiência na aplicação de IA para resolver problemas específicos do negócio.

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