Your Role As a Data Architect, you will take a leading role in designing, evolving, and optimizing data architecture for innovative, scalable, and secure solutions. You will collaborate closely with data engineers, analytics teams, business stakeholders, and IT leadership to deliver data strategies that power decision‑making and digital transformation. Key Responsibilities Strategy & Architecture Define, evolve, and document the organization’s data architecture aligned with business and IT strategy. Design enterprise data models (conceptual, logical, and physical), establishing naming conventions and modeling standards. Assess and recommend data technologies (Data Lake, Lakehouse, Mesh, Warehouse) based on evolving business needs. Governance, Privacy & Quality Define policies and standards for data governance, quality, privacy, cataloging, and lineage. Lead adoption of metadata management and data discovery tools across teams. Ensure compliance with internal and external data regulations and security requirements. Data Integration & Design Architect data integration solutions (ETL/ELT, real‑time and batch pipelines). Ensure interoperability across domains, sources, and consumers using principles such as Data Mesh. Define integration patterns and data federation frameworks to deliver a 360° data view. Act as a technical reference in data architecture, guiding engineering, analytics, and business teams. Promote adoption of data models, standards, and best practices across the organization. Translate business needs into scalable data solutions and facilitate technical‑business alignment. Who You Are Education Bachelor’s degree in Mechatronics Engineering, Applied Mathematics, Software Engineering, Computer Science, or related fields. Preferred certifications: Microsoft Certified, Azure Data Engineer Associate, or relevant cloud and data architecture certifications. Required Experience 10+ years of experience in Data engineer 3+ years designing cloud-based data architectures (Azure, AWS, or GCP). 2+ years in data architecture, enterprise data modeling, or data governance. Led data model design (relational, multidimensional, non-relational) for Data Warehouse, Data Lake, or Lakehouse architectures. Participated in multi-source data integration projects (on-premise, cloud, external sources). In-depth knowledge of data governance frameworks including quality, cataloging, privacy, and compliance. Experience with modern architectures (Data Mesh, Lakehouse) and cataloging tools (Purview, Unity Catalog) is a plus. Technical Expertise Data Modeling: Conceptual, logical, physical modeling; normalization; relational and non-relational design. Architectures: Data Warehouse, Data Lake, Lakehouse, Data Mesh. CI/CD: Git, Sonar, DevOps best practices. Leadership & Soft Skills Systemic Thinking: Designs modular, scalable, and integrated architectures. Cross-functional Communication: Translates technical and business requirements clearly and effectively. Reuse Mindset: Focuses on creating shareable and scalable components. Technical Leadership: Influences technical direction and decision-making across teams. Complexity Management: Solves high-impact, large-scale technical challenges. Product & Platform Mindset: Designs with the data consumer experience in mind. Curiosity & Continuous Learning: Stays ahead of tech trends and promotes innovation. What We Offer Stimulating, collaborative work environments A personalized career path and growth opportunities International mobility and cultural exchange Internal R&D and innovation programs Learning & knowledge-sharing initiatives Training and certification support #J-18808-Ljbffr