Resumo da oportunidade
Com 30 anos de experiência em transformação tecnológica, aceleramos a inovação com expertise em Agentic SDLC, modernização de aplicações, Data & AI, Martech e estratégia de negócios.
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Principal Data Developer, Brazil
CI&T
Na CI&T, ajudamos grandes empresas a transformar o potencial da IA em impacto real para os negócios com implantação de IA, execução nativa de IA e soluções de negócios integradas à tecnologia.
Principais atividades
- Architecture & Platform Build
Design and build a scalable lakehouse data platform from the ground up, covering everything from raw data ingestion to the layers that serve downstream consumption.
Define the end-to-end data lifecycle architecture needed to support analytics, machine learning, and business intelligence use cases further down the pipeline.
- Hands-on Engineering
Build production-grade data pipelines, frameworks, and platform services by writing and reviewing code directly, not only specifying requirements for others.
Lead data cleaning, transformation, and entity resolution work by converting large volumes of unstructured legal and historical records into consistent, trustworthy datasets.
- Infrastructure
Provision, manage, and scale cloud infrastructure as code to enable repeatable, reliable platform deployments.
- Technical Leadership
Act as the primary technical reference for the platform by setting engineering best practices, code quality standards, and architectural guardrails for the team.
Mentor engineering team members on data engineering practices and platform standards as the team and platform grow.
- Stakeholder Engagement
Partner directly with client leadership and business stakeholders by translating business requirements into technical solutions, and by proposing, presenting, and defending architectural decisions in direct conversations.
Collaborate closely with adjacent roles, including AI architecture and product ownership, within a lean, AI-native delivery team.
Diferenciais
- Experience with AWS specifically, as it is the target cloud provider for this Databricks deployment.
- Databricks certification(s).
- Experience working in legal services, financial services, or other document- and precedent-intensive industries.
- Experience operating within small, AI-native delivery teams rather than large traditional team structures.
- Familiarity with AI/ML platform architecture practices, given close collaboration with an AI architecture counterpart.
Detalhes da vaga
Local
Remoto - Brasil · modelo remoto
Inscrição e candidatura
- Consultar anúncio original e candidatar-se
- Resumo elaborado pelo UpVagas com base nas informações publicadas pela empresa. Consulte o anúncio original para conferir todos os detalhes e eventuais atualizações.
