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Dadoteca

Transformando dados em conhecimento

Pre-Sales Architect | Data, Analytics & AI

Public RelationsPublic RelationsFull TimeRemoteMid LevelTeam 51-200H1B No SponsorCompany SiteLinkedIn

Location

Brazil

Posted

4 days ago

Salary

0

Seniority

Mid Level

No structured requirement data.

Job Description

Pre-Sales Architect | Data, Analytics & AI

Dadoteca

Role Description A Dadoteca é uma empresa inovadora no setor de tecnologia, dedicada a fornecer soluções de alta qualidade para nossos clientes por meio de um ambiente de trabalho colaborativo que impulsiona o desenvolvimento profissional e a inovação. Buscamos uma pessoa Arquiteta de Pré-Vendas para atuar como referência técnica em soluções de Dados, Analytics, Automação e Inteligência Artificial, apoiando o processo consultivo de pré-vendas e a construção de propostas técnicas de alto valor agregado. Essa posição terá papel estratégico na identificação de oportunidades, definição de arquiteturas modernas e condução de discussões técnicas junto a clientes corporativos, conectando necessidades de negócio com soluções escaláveis e inovadoras. Atividades - Atuar como ponto focal técnico nas fases de pré-venda de soluções de Dados, Analytics, Power Platform, Automação e Inteligência Artificial. - Participar de reuniões de discovery e levantamento de requisitos junto aos clientes. - Traduzir necessidades de negócio em soluções técnicas escaláveis e aderentes ao contexto do cliente. - Elaborar arquiteturas envolvendo plataformas modernas de dados, analytics, IA e cloud computing. - Apoiar a construção de MVPs, PoCs e roadmaps de modernização de plataformas de dados. - Elaborar propostas técnicas, apresentações executivas e escopos de projetos. - Apoiar propostas comerciais com definição de premissas, riscos, dependências e critérios de sucesso. - Realizar estimativas de esforço, sizing técnico e definição de times para implementação dos projetos. - Conduzir discussões técnicas com áreas de TI, dados, negócio, arquitetura e executivos. - Apoiar o time comercial em negociações estratégicas e alinhamento técnico com clientes. - Contribuir para evolução das ofertas e portfólio de soluções de Dados & IA da empresa. - Realizar apresentações técnicas e executivas para clientes e stakeholders. - Acompanhar tendências de mercado e novas tecnologias relacionadas a Dados, Analytics, IA e Cloud. Qualifications - Experiência prévia com pré-vendas técnicas, arquitetura de soluções e/ou consultoria em Dados e Inteligência Artificial. - Vivência em projetos corporativos e ambientes enterprise. - Conhecimento sólido em arquitetura de soluções modernas de dados. - Experiência com plataformas cloud: Azure, AWS, GCP, OCI. - Conhecimento em plataformas de dados: Databricks, Microsoft Fabric, Snowflake, BigQuery, Data Lake / Lakehouse. - Experiência com engenharia de dados, pipelines ETL/ELT e integração de dados. - Conhecimento em: Data Warehouse moderno, Data Mesh, Medallion Architecture, Governança de dados, LGPD, Segurança, FinOps. - Experiência com DevOps, DataOps, CI/CD e Git. - Conhecimento em ferramentas de Analytics e BI, como: Power BI, Tableau. - Vivência em ambientes multi-cloud e modernização de plataformas de dados. - Experiência com RFPs, concorrências e apresentações executivas. - Conhecimento em IA Generativa, Machine Learning, LLMs e arquiteturas RAG. - Capacidade de atuação hands-on em PoCs e projetos quando necessário. - Organização para documentação e gestão de informações em CRM. - Inglês técnico ou avançado. Competências - Comunicação executiva e excelente capacidade de apresentação. - Perfil consultivo e orientação para geração de valor ao negócio. - Capacidade de traduzir necessidades de negócio em soluções tecnológicas. - Pensamento analítico e estruturado. - Organização, autonomia e senso de prioridade. - Capacidade de atuação em múltiplas demandas simultaneamente. - Colaboração entre áreas técnicas, comerciais e clientes. - Senso crítico e visão estratégica. - Boa capacidade de negociação e alinhamento de escopo. - Proatividade, senso de dono e postura hands-on. - Escuta ativa e excelente relacionamento interpessoal. - Curiosidade e interesse contínuo por novas tecnologias. Diferenciais - Certificações em plataformas cloud e dados, como: Microsoft Azure AZ-305, Databricks Professional, Fabric Analyst, AWS, GCP. - Conhecimento em ferramentas open-source voltadas para dados: Apache Spark, Airflow, Hadoop. - Vivência em consultorias, integradoras ou hyperscalers. - Experiência com soluções de NLP, visão computacional e IA aplicada. - Experiência em treinamentos técnicos e enablement de times. - Pós-graduação ou especializações em Dados, Cloud, Analytics ou IA. Formação - Ensino superior completo em: Ciência da Computação, Sistemas de Informação, Tecnologia da Informação ou Áreas correlatas. - Pós-graduação ou especializações em Dados, Cloud, Analytics ou Inteligência Artificial serão consideradas diferencial.

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