Data Architect

Description

Job Summary: Data Architect to lead discovery, assessment, and mapping of data environments, proposing modernization and evolution of the architecture. Key Highlights: 1. Join a living ecosystem where the future of business is created 2. Identify opportunities for standardization and modernization of data architecture 3. Support the definition of requirements for future data initiatives #### **About the Data Architect Role** **Join a living ecosystem where the future of business is created and experienced every day. Be part of this transformation!** At LUZA Group, passion, perseverance, and the drive to push beyond limits define our path to success. Founded in 2006, we are a Portuguese multinational with over 1,200 talented professionals and a significant volume of business. With presence in strategic markets including Portugal, Spain, Morocco, Brazil, Mexico, the United States, and China, we deliver innovative solutions in engineering, IT, design, consulting, Industry 4.0, training, and recruitment. Everything we do is powered by the talent of our people. **This is a moment of growth and opportunity. The future belongs to visionary minds. Join us!** **Responsibilities and Tasks** ----------------------------------------- * Lead the **data environment discovery**, identifying and analyzing existing databases, structures, volumes, technologies, integrations, and inter-system dependencies. * Assess **data quality, consistency, integrity, security, and governance**, identifying technical and functional risks. * Map end-to-end data flows—including sources, transformations, consumption, and persistence—documenting the current state (**AS IS**). * Identify opportunities for **standardization, modernization, and evolution of data architecture**, proposing target-state directions (**TO BE**). * Support technical and business teams in defining requirements for future initiatives such as migration, consolidation, lakehouse, BI, or analytics. * Produce technical documentation and executive reports containing findings, recommendations, and an evolutionary roadmap. **Mandatory Requirements** --------------------------- * Proven experience as a **Data Architect**, or in engineering/architecture roles with strong emphasis on databases. * Solid expertise in **data modeling (conceptual, logical, and physical)**. * Practical experience with **relational and non-relational databases** (e.g., Oracle, SQL Server, PostgreSQL, MySQL, MongoDB, or similar). * Hands-on experience in **data environment discovery, assessment, or diagnostics**. * Strong analytical ability and communication skills to translate technical aspects into business-friendly language. **Preferred Qualifications** ----------------------------- * Knowledge of modern data architectures (Data Lake, Data Warehouse, Lakehouse). * Experience with cloud environments (AWS, Azure, or GCP). * Familiarity with data governance, LGPD, information security, and metadata management. * Exposure to data cataloging, profiling, or lineage tools. * Experience in database migration, modernization, or consolidation projects.