[职位 -31821] 主数据架构师(Databricks),墨西哥
[Job -31821] Master Data Architect (Databricks), Mexico
在CI&T,我们帮助大型企业将AI的潜力转化为实际的业务影响,通过AI部署、AI原生执行和技术整合的业务解决方案。
拥有30年的技术转型经验,我们在代理SDLC、应用现代化、数据与AI、营销科技和商业战略方面具备专业知识,加速创新。
我们在25个以上的国家有8000名CI&T员工,协作打造具有真实影响力的解决方案。AI已经是我们每天工作、发展和创新的一部分。
随着CI&T的数据实践拓展到新市场,我们正在寻找一位经验丰富的主数据架构师,负责一个新客户的数据显示现代化项目的技术主导。这是一个基础性角色:该专业人员将在初步评估阶段之后介入,指导该客户账户的长期技术方向,与墨西哥、北美、巴西及其他拉美地区的团队紧密合作。
这个角色结合了实际的架构工作与团队和利益相关者的领导。主数据架构师将带领一个多学科团队完成数据产品的全生命周期——从设计到部署——同时在基础技术工作与逐步交付可衡量的业务价值之间取得平衡。此职位的成功取决于在技术和业务优先事项之间导航的能力,将客户需求转化为实际解决方案,并与CI&T更广泛的数据实践保持紧密一致。
职责:
- 技术领导:在技术上领导团队,使数据科学家和数据开发者能够构建、增强和维护整个项目中的数据产品。
- 架构与设计:参与设计和架构讨论,制定符合安全和性能最佳实践的解决方案。
- 解决方案策略:理解业务和技术需求,并通过选择适当的框架和方法将其转化为可行的技术解决方案。
- 利益相关者对齐:直接与客户团队成员沟通,确保技术方案符合业务需求,平衡技术领导层(关注基础工作)和业务领导层(关注解决实际问题)的观点。
- 跨职能协作:与战略、客户体验、产品和非技术项目管理团队协作,确保解决方案服务于更广泛的业务目标。
- 交付环境
查看英文原文
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.
As CI&T expands its data practice into new markets, we are looking for an experienced Master Data Architect to take technical ownership of a data modernization engagement for a new client. This is a foundational role: the professional will step in after an initial assessment phase to guide the long-term technical direction of the account, working closely with teams across Mexico, North America, Brazil, and other Latin American countries.
This role blends hands-on architecture with team and stakeholder leadership. The Master Data Architect will guide a multidisciplinary team through the full lifecycle of data products — from design through deployment — while balancing foundational technical work with the delivery of incremental, measurable business value. Success in this position depends on the ability to navigate between technical and business priorities, translate client needs into practical solutions, and maintain close alignment with CI&T's broader data practice.
Responsibilities:
- Technical Leadership: Lead the team technically, enabling data scientists and data developers to build, enhance, and maintain data products across the engagement.
- Architecture & Design: Participate in design and architecture discussions, defining solutions that follow security and performance best practices.
- Solution Strategy: Understand business and technical requirements and translate them into viable technical solutions by selecting appropriate frameworks and approaches.
- Stakeholder Alignment: Communicate directly with client team members to align technical solutions with business needs, balancing perspectives from technical leadership (focused on foundational work) and business leadership (focused on solving practical problems).
- Cross-functional Collaboration: Collaborate with strategy, customer experience, product, and non-technical program management teams to ensure solutions serve broader business goals.
- Delivery Environment: Guarantee a stable and productive development environment for the team.
- Data Assessment: Participate in data assessments and complex data modernization engagements, identifying priorities that deliver incremental value.
- Practice Connection: Maintain direct connection with CI&T's data practice, contributing to and drawing on shared expertise across projects and clients.
- Multi-market Delivery: Work across a variety of projects, clients, and subject-matter domains in coordination with teams in Mexico, North America, Brazil, and other Latin American countries.
Requirements:
- Advanced/Fluent English (C1 or above)
- Advanced/Fluent Spanish (C1 or above)
- Solid experience in data architecture design and technical leadership
- Solid experience designing, developing, and deploying pipelines, data lakes, data meshes, and other data products
- Experience with cloud data platforms (Databricks, Snowflake, or similar);
- Experience with data pipeline orchestration and workflow automation
- Solid experience translating business problems into data solutions
Nice to Have:
- Experience with consultative data assessments and data modernization engagements
- Knowledge of Data Governance principles
- Experience with CI/CD and MLOps pipelines
- Experience collaborating with pre-sales, presenting data solutions to non-technical audiences
- Ability to build proof of concepts and prototype complex technical mechanisms
- Experience scaling data workloads
- Familiarity with AI engagements and agentic coding
- Familiarity with Google Cloud Platform (GCP)
Why join us?
- Competitive Salary
- Generous paid vacation days
- Unlimited sick time
- 100% paid health & dental benefits starting day one
- Annual profit-sharing distribution
- Retirement match
- Paid parental leave
- Dedicated career advisor
- And so much more…
Collaboration is our superpower, diversity unites us, and excellence is our standard.
We value diverse identities and life experiences, fostering a diverse, inclusive, and safe work environment. We encourage applications from diverse and underrepresented groups to our job positions.
Originally posted on Himalayas