Data Architect

Description

Job Summary: We are seeking a Data Architect with strong technical expertise and strategic vision to design and lead end-to-end analytical solutions, engaging directly with clients and technical teams. Key Highlights: 1. Definition and implementation of modern data architectures 2. Technical leadership of project teams 3. Monitoring of technological trends and innovative solutions (AI/ML) We are looking for a **Data Architect** with strong technical expertise and strategic vision, capable of designing and leading end-to-end analytical solutions. You will play a key role in defining modern data architectures and interacting directly with clients and technical teams. **Responsibilities:** * Define and implement data architectures (Data Lake, Data Warehouse, Lakehouse, BI solutions, etc.). * Participate in projects and pre-sales activities (proposals, RFPs, presentations, etc.). * Conduct needs assessments, diagnostics, and maturity evaluations of clients' data architectures. * Provide technical leadership to project teams and coordinate technical profiles. * Ensure alignment with best practices in data security, performance, quality, and governance. * Monitor technological trends and propose innovative solutions, including the use of AI/ML and generative AI. **Requirements:** * Bachelor's degree in Computer Engineering or equivalent field * **Minimum of 5 years of experience** in the data domain, including **2–3 years as a data architect** or in a similar role. * Experience with Relational Database Systems (SQL Server, Oracle, Snowflake, MySQL, PostgreSQL); * Experience with Cloud platforms (Azure, AWS, GCP, etc.); * ETL tools (ODI, SSIS, Azure Data Factory, etc.); * BI and Reporting tools (Power BI, Tableau, SAS VA, Oracle Analytics); * Data Lakehouse stacks (Databricks, Microsoft Fabric, Snowflake, etc.); * End-to-end solutions using open-source technologies (dbt, Talend, DuckDB, Apache Superset, etc.); * Strong communication and client relationship skills. **Preferred experience:** * Databases (NoSQL, MongoDB, Redis, etc.). * Advanced analytics solutions (AI/ML for predictions, fraud detection, etc.). * Development of solutions using generative AI (chatbots, agents with OpenAI, LangChain, etc.). * Experience in Agile environments; * Certifications in cloud and database technologies. **What we offer:** * Hybrid work model in Lisbon; * Health insurance; * Feedback-oriented culture; * Access to training platforms covering linguistic, technical, and behavioral topics.