Data Architect

Description

Job Summary: We are seeking a professional to define conversational data architecture and governance, ensuring data is reliable and suitable for AI solutions. Key Highlights: 1. Lead the definition of conversational data architecture and governance. 2. Ensure data reliability and suitability for AI-driven experiences. 3. Participate in the design of conceptual and logical data models. Join Stefanini! At Stefanini, we are more than 30\.000 brilliant minds, connected from 41 countries, doing what they love and co\-creating a better future. **Responsibilities and Authorities** * Define conversational and AI-agent support data architecture and governance, establishing required sources, logical models, quality rules, traceability, privacy, data ownership, and information dependencies to support capability, agent, and use-case prioritization. * The individual will be responsible for ensuring that data required by the solution is identifiable, reliable, governable, accessible, and suitable for use in conversational experiences and AI capabilities. **Primary Responsibilities** * Lead the identification and characterization of data sources relevant to prioritized use cases. * Define conceptual and logical data models for: * Conversational data. * User context. * Profiling and Customer 360\. * Interactions and sessions. * Intents, entities, and events. * Responses, escalations, and outcomes. * Traceability and audit metadata. * Identify master sources, systems of record, and information owners. * Define the dependency map among data, capabilities, agents, integrations, and use cases. * Establish quality criteria including completeness, consistency, freshness, uniqueness, and availability. * Define guidelines for data lifecycle management, versioning, retention, and deletion. * Identify personal, sensitive, confidential, or regulated data. * Design privacy principles including data minimization, segregation, and authorized usage. * Define governance roles and responsibilities: data owners, data stewards, custodians, and consumers. * Design minimum metadata requirements to ensure traceability, auditability, and explainability of data usage. * Document information dependencies for agent and capability prioritization. * Assess constraints related to source availability, quality, structure, and access. * Analyze the current state of Customer 360 and other relevant enterprise data capabilities. * Participate in workshops with business, architecture, engineering, AI, security, and governance teams. * Ensure alignment between the data model, target architecture, integrations, and roadmap. * Propose measurable data quality and governance metrics for the implementation phase. * Identify data-related risks, assumptions, gaps, and pending decisions. **Requirements and Qualifications** **Technical Requirements** * Bachelor’s degree in Systems Engineering, Data Engineering, Computer Science, Statistics, or related fields. * Professional experience in data architecture, data governance, or information platform design. * Experience defining conceptual, logical, and physical data models. * Experience with enterprise data architecture and distributed ecosystems. * Experience with Microsoft Azure. * Knowledge of: * Relational and dimensional modeling. * SQL and NoSQL databases. * Data lakes, data warehouses, and lakehouses. * Data catalogs and metadata. * Data quality and observability. * Data lineage and traceability. * Data governance. * Privacy and information protection. * Digital and conversational interaction data. * Ability to analyze heterogeneous sources, APIs, events, and document repositories. * Experience documenting architecture, decisions, dependencies, and governance principles. * Ability to translate business needs into data structures and rules. **Desirable** * Experience with generative AI, agent, or conversational solution data. * Knowledge of Customer 360, CDPs, or profiling platforms. * Experience in regulated sectors or handling personal and sensitive information. * Familiarity with Colombian data protection regulations. **Competencies** * Systems thinking and abstraction ability. * Rigor in analysis and documentation. * Ability to manage ambiguity and dependencies. * Clear communication with technical and functional teams. * Orientation toward governance, quality, and traceability. * Ability to influence and build consensus across diverse areas. **Additional Information** Looking for a place where your ideas shine? With over 38 years of experience and a global presence, at Stefanini we transform tomorrow—together. Here, every action matters and every idea can make a difference. Join a team that values innovation, respect, and commitment. If you are a disruptive thinker, committed to continuous learning, and innovation is in your DNA, then we’re exactly what you’re looking for. Come and let’s build a better future—together!