Integrated on this multinational manufacturing group you will participate on the strategic Data committee. As a Data Architect within this multinational Technology Manufacturing company, located in Porto region, you will shape data architecture, helping the business use reliable and well-structured information. You will define practical data approaches that enable consistent systems, informed decisions and effective technology delivery. Description Define Data Architecture: Design scalable, secure, and high-performing data architecture solutions aligned with business needs. Model Enterprise Data: Develop and maintain robust data models that support analytics, reporting, and operational needs. Lead Data Initiatives: Oversee the design and implementation of data pipelines, data warehouses, and lakehouse structures. Ensure Data Governance: Establish standards for data quality, metadata, lineage, and compliance. Collaborate Across Teams: Work closely with data engineers, analysts, domain experts, and business stakeholders to understand requirements and translate them into effective data solutions. Evaluate Technologies: Assess and recommend modern data platforms, tools, and frameworks to support the evolving data landscape. Promote Best Practices: Drive consistency in data modeling, architecture, and usage across the organisation. Support Analytics & Reporting: Enable self-service analytics by ensuring data accessibility and integration with BI platforms (e.g., Power BI, Tableau). Mentor & Guide: Support junior team members with architectural guidance and knowledge sharing. Align with Strategy: Ensure architectural decisions support long-term business and technology strategy. Profile A successful 'Data Architect' should have: Relevant experience in the design and implementation of data models for enterprise data warehouse initiatives. Experience leading projects involving data warehousing, data modelling, data analysis and SAP and other tecnhologies integration. Proficient in languages such as Java, Python, C/C++, and tools like SQL, R, SAS, and Excel. Modern Data Architecture: Skilled in designing and implementing cloud-based solutions (AWS, Azure), real-time data streaming (e.g., Kafka, Dataflow), and modern data platforms (e.g., Snowflake, Databricks). Integrating data from different sources namely SAP; Experience with SQL and NoSQL databases, and platforms such as Oracle, Hadoop, and Teradata. Data Modelling & Quality: Knowledge of entity-relationship modelling, metadata systems, and data quality techniques. Familiar with BI and ETL tools like Power BI, Tableau, and data integration platforms. Strategic & Architectural Thinking: Ability to align technical decisions with business needs and assess architecture options based on value delivery. Adaptability and a drive to adopt emerging technologies, especially in ML/AI. Excellent analytical and troubleshooting skills; able to guide technical design to meet business objectives. Job Offer Permanent contract with the company Flexible working hours and a hybrid work model. Lunch Vouchers. Private Health Insurance. Aid to commuting. Join this challenge! Data architecture, SAP, SAP BI, SAP BO, S/4 Hana, Java, Python, C/C++, SQL, R, SAS, Excel, Databricks