Data Architect

Description

Job Summary: We are seeking a Data Architect to define and ensure a robust, scalable data architecture, serving as the technical authority and enabling analytical and AI capabilities. Key Highlights: 1. Design enterprise data architectures in cloud environments 2. Lead the adoption and evolution of key technologies such as Azure and Databricks 3. High-impact role with cross-functional visibility About the Role We seek a Data Architect to define and ensure a robust, scalable, and business-strategy-aligned data architecture. You will serve as the technical authority for engineering, analytics, and data science teams, establishing standards and guidelines that guarantee data integration, quality, security, and governance across the organization. This is a high-impact role with cross-functional visibility: your architectural decisions will enable the company’s analytical and AI capabilities for years to come. Responsibilities * Design enterprise data architectures in cloud environments, ensuring scalable, resilient, and efficient solutions. * Define data models and processing, storage, and consumption strategies (batch and streaming). * Lead the adoption and evolution of technologies such as Azure, Databricks, and Microsoft Fabric. * Establish DataOps guidelines and best practices: versioning, CI/CD, automation, monitoring, and observability. * Define and implement the data governance framework: quality, lineage, catalog, security, and regulatory compliance. * Serve as technical authority and internal consultant for tribes, cells, and engineering and analytics teams. * Evaluate technologies and vendors, and participate in architectural decisions alongside department heads and managers. * Document standards, reference patterns, and architectural decisions (ADRs). Requirements * Professional degree in Computer Science Engineering, Information Technology, Electronics, or related field. * Proven experience designing data architectures in cloud environments, preferably Azure (Data Factory, Synapse, ADLS, Event Hubs). * Proficiency in Databricks (Delta Lake, Unity Catalog, Spark) and familiarity with Microsoft Fabric. * Strong expertise in data modeling: dimensional, Data Vault, relational, and Lakehouse/Medallion patterns. * Experience with advanced SQL and Python or Scala. * Knowledge of data governance, security, privacy, and applicable regulations (e.g., Law 21\.719 on personal data protection). * Experience working in agile environments with Product Owners, Scrum Masters, and multidisciplinary teams. Desirable * Azure certifications (DP\-203, AZ\-305) or Databricks Data Engineer/Architect certifications. * Experience with Data Mesh architectures or federated data domains. * Proficiency in Infrastructure-as-Code (Terraform, Bicep) and CI/CD tools (Azure DevOps, GitHub Actions). * Intermediate or advanced technical English. Competencies * Technical leadership and influence without formal authority. * Effective communication with both technical and business audiences. * Strategic vision and systems thinking. * Decision-making ability in ambiguous contexts involving multiple stakeholders. * Results-oriented mindset and commitment to continuous improvement. **\*\* Please attach your CV including salary expectations (RENTA) and availability.** Employment Type: Full-time Work Location: On-site