Data Architect

Description

Job Summary: We are seeking a professional to design, optimize, and govern the enterprise data architecture, laying the foundation for a modern Lakehouse model within a digital transformation environment. Key Highlights: 1. Design, optimization, and governance of enterprise data architecture. 2. Lead digital transformation with a modern Lakehouse model. 3. Collaborate in an agile, flexible, and inclusive environment with growth opportunities. We seek a professional to design, optimize, and govern data architecture in Elorrio, within an organization undergoing full digital transformation. The primary mission is to establish the foundation of a modern Lakehouse model, ensuring data quality, consistency, performance, and security at the enterprise level. Responsibilities include defining modeling standards, evaluating emerging technologies, and evolving legacy systems toward more efficient and scalable architectures. You will work closely with multidisciplinary teams, translating business requirements into robust, well-documented data structures. Deep expertise in SQL and NoSQL databases—such as Oracle, PostgreSQL, SQL Server, and MongoDB—is required, along with concepts including dimensional modeling, normalization, indexing, and performance optimization. Experience with Cassandra, Redis, graph databases, and Lakehouse frameworks such as Iceberg is highly valued. The environment encourages collaboration and continuous learning, with effective communication being essential. The organization offers a stable environment with growth prospects, investing in internal talent. An agile, flexible, and inclusive workplace is promoted, featuring flexible working hours, hybrid work arrangements, and health and work-life balance benefits that enhance overall professional well-being. Education in Computer Engineering, Business Analytics, Business Administration and Management (ADE), or Data Governance. Solid experience in complex data environments. Proficiency in Oracle, PostgreSQL, SQL Server, and MongoDB. In-depth knowledge of SQL, dimensional modeling, normalization, indexing, and performance optimization. Experience with Cassandra, Redis, or graph databases, as well as familiarity with modern data architectures—especially Lakehouse models (Iceberg), data pipelines, and analytical ecosystems—is desirable. A rigorous and structured profile, capable of translating business needs into data structures, with strong interpersonal skills for teamwork.