Бразилия[Job - 32120] Principal Data Developer, Brazil
2 дн. назад
БразилияLeadRemote
data modelingarchitectureprototypeimplementationsupport
Lead development and architectural ownership of a new data platform for a legal services client in Brazil, covering full lifecycle from architecture to implementation and support.
Требования
- Extensive, hands-on experience designing and building enterprise-grade data platforms from scratch, operating simultaneously as architect and individual contributor.
- Deep expertise in Databricks and lakehouse architecture design.
- Experience with at least one major cloud platform is mandatory (AWS, Azure or GCP).
- Solid proficiency in Infrastructure as Code, using tools such as Terraform, OpenTofu, or AWS CDK.
- Strong command of data engineering fundamentals: data modeling, distributed computing, ETL/ELT design patterns, and entity resolution.
- Demonstrated ability to structure data platforms so they support downstream data science, machine learning, and business intelligence needs.
- Core background rooted in data engineering and pipeline/platform development, rather than analytics or reporting-tool work alone.
- Advanced English proficiency (written and spoken), used daily for technical and strategic communication with client leadership based in the United States.
- Strong communication skills, with proven ability to propose, present, and defend technical solutions directly to client stakeholders.
Будет плюсом
- 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.
Другое
- At CI&T, we help large enterprises transform the potential of AI into real business impact with AI Deployment, AI-native execution, and tech-integrated business solutions.
- With 30 years of experience in technological transformation, we accelerate innovation with expertise in Agentic SDLC, Application modernization, Data & AI, Martech and Business strategy.
- We are 8,000 CI&Ters across more than 25 countries, collaborating to build solutions with real impact. AI is already part of how we work, evolve, and innovate every day.
- Our client, a market-leading company in the legal services industry specializing in bankruptcy and insolvency management, is building a brand-new data platform from the ground up. The organization sits on a large volume of public legal precedents and historical case records, and turning that information into reliable, usable data is central to its growth strategy. This is a foundational hire: the person who takes this role will shape how data is captured, modeled, and delivered across the company from day one.
- This role covers the full lifecycle of the platform, from architecture and prototyping to hands-on implementation, delivery, and ongoing support. It requires a rare mix of deep technical execution and architectural ownership, combined with the communication skills to propose, present, and defend technical decisions directly to client leadership. The person will operate within a small, AI-native delivery team — working closely with an AI architecture counterpart and the client's product owner rather than a large traditional team structure.
- 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.
- 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.
- Provision, manage, and scale cloud infrastructure as code to enable repeatable, reliable platform deployments.
- 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.
- 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.