[Job - 30583] Senior Data MDM Architect, Brazil

About this role

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. CI&T is seeking a senior Data MDM Architect to join an embedded engagement with a leading U.S.-based client operating at the intersection of ESG advisory and carbon credit trading. The client manages complex, high-volume data across multiple integrated platforms to support both enterprise sustainability consulting and financial trading operations. As data volumes, integration complexity, and regulatory expectations grow, the need for a unified, authoritative data architecture has become a strategic priority — making this role critical to the client's next phase of growth. In this role, you will act as a strategic advisor and hands-on architect, designing and governing the "golden source of truth" for counterparties, products, and contacts across a multi-platform ecosystem. This is not a purely strategic position — you will be expected to engage directly with US-based technical leadership, conduct architectural discovery, produce deliverables, and make consequential decisions independently. You will cover the full data lifecycle: ingestion, cleansing, MDM, integration patterns, governance, and reporting — ensuring every layer of the architecture is correct, scalable, and resilient from day one.     Responsibilities: Architectural Review & Validation: Assess and validate the current multi-platform data architecture and MDM strategy, identifying technical debt, integration gaps, and risks to data integrity across Salesforce, NetSuite, and other integrated systems. MDM Strategy Design: Define and deliver the master data management architecture, establishing the "golden source of truth" for core entities — counterparties, products, contacts, and financial instruments — across all five core platforms. Data Governance Framework: Develop and implement enterprise-grade data governance policies covering data ownership, lineage, access controls, and stewardship to ensure consistent data integrity across the ecosystem. Entity Mapping & STP Alignment: Lead the mapping of complex counterparty and product data entities to enable seamless straight-through processing (STP) across trading and ERP workflows. Integration Pattern Design: Architect resilient, scalable integration patterns for the Azure-based middleware layer to handle master data synchronization without duplication or data drift across connected platforms. Technical Discovery Partnership: Collaborate closely with US-based technical leads during the Discovery phase to surface architectural risks, validate current data flows, and define the roadmap for remediation. MDM Solution Advisory: Evaluate and recommend "out-of-the-box" vs. "custom-built" MDM approaches through structured SWOT analysis, balancing cost, scalability, and time-to-value. Stakeholder Communication: Translate complex architectural decisions into clear, actionable guidance for both technical teams and executive stakeholders (CTO, CPTO), driving alignment across business and engineering. Long-Term Data Roadmap: Develop a strategic roadmap for data lineage, access controls, and the evolution toward modern Data Fabric solutions — including a forward-looking plan for unstructured data and AI-augmented architectures.     Requirements: Advanced English communication skills (C1 or above), with demonstrated ability to lead strategic discussions and sell ideas to US-based executive and technical leadership Solid experience in Data Architecture and MDM strategy, with a track record of delivering full end-to-end data architectures in enterprise environments Proven experience designing data governance frameworks in complex, regulated environments such as financial services, commodity trading, or ESG/energy markets Demonstrated ability to work in an embedded, autonomous capacity — proactively engaging stakeholders, driving architectural decisions, and delivering results without requiring a dedicated team Experience with Azure-based data architectures and middleware integration patterns (e.g., Azure Logic Apps, Azure Functions, or equivalent) Strong communication and influencing skills, with the ability to challenge client assumptions constructively and advocate for sound architectural choices at the executive level     Nice to Have: Deep, hands-on expertise with NetSuite (ERP) and Salesforce (CRM) data structures, integration patterns, and data modeling — ability to operate independently in both platforms from day one Familiarity with carbon markets, ESG data structures, or financial trading platforms Experience with modern Data Fabric or Data Mesh architectural patterns Knowledge of RAG-based AI strategies applied to enterprise data environments Exposure to contract lifecycle management or legal data management systems Relevant certifications in data management, cloud architecture, or enterprise integration (e.g., DAMA CDMP, Azure Solutions Architect) Experience operating across LATAM or North American cross-cultural technical teams     #LI-JP3