Data Architect

Description

Job Summary: We are seeking a Data Architect to lead the design, implementation, and optimization of enterprise data architectures, enabling strategic decision-making. Key Highlights: 1. Lead the design and implementation of enterprise data architectures. 2. Drive technological evolution and data modernization. 3. Evaluate emerging technologies and propose innovative solutions. **Job Description:** We are looking for a **Data Architect** to lead the design, implementation, and optimization of enterprise data architectures. The role is responsible for ensuring data availability, quality, and security, enabling analytical and business intelligence solutions that support strategic decision-making. **Responsibilities:** * Identify data sources and document functional and non-functional requirements. * Assess data quality and governance (duplication, inconsistencies, traceability). * Design enterprise data architecture (DWH, Data Lake, Lakehouse, Data Mesh). * Define the enterprise data model and design logical models (star, snowflake, data vault). * Identify dimensions and facts, and design metadata models. * Define overall architecture and its layers. * Establish access control and security policies. * Design data pipelines and data flows. * Lead data technology evolution, driving migrations, cloud modernization, and adoption of modern architectures. * Evaluate emerging technologies and propose innovative solutions to improve efficiency and competitiveness. * Oversee interoperability, scalability, and security of technology platforms. **Requirements:** * **Education:** Bachelor’s degree in Systems Engineering, Computer Science, Information Technology, or related field. * **Experience:** Minimum 10 years as a data architect or data administrator. * Knowledge: **Data Modeling:** Proficiency in **ER**, dimensional, and **Data Vault 2\.0** modeling. **Modern Architectures:** Design of **Data Warehouse, Data Lake, Lakehouse**, and hybrid architectures. **Data Processing:** Building **ETL/ELT** pipelines using **advanced SQL**. **Databases:** Experience with **relational and NoSQL** databases. **Cloud Services:** Hands-on experience with **AWS, Azure, GCP**, and hybrid architectures. **Data Governance & Integration:** Data governance, quality, traceability, and integration via **APIs**. **Architecture Frameworks:** Familiarity with **TOGAF, Zachman**, or similar frameworks. * Familiarity with **data governance, data quality, and data protection regulations**. * Intermediate-to-advanced English proficiency. **Competencies:** * Analytical thinking and strategic orientation. * Technical leadership and influence capability. * Effective communication and collaborative teamwork. * Results-driven mindset and innovation orientation.