• Responsible for defining and evolving data and artificial intelligence solution architectures, ensuring adherence to corporate guidelines, scalability, security and integration with the company’s technology ecosystem. Works on strategic projects, modernization initiatives and end-to-end solution design. • Define service-oriented architectures, microservices and modular monoliths. • Define and maintain the corporate data architecture, considering multicloud environments (Azure, AWS, GCP) and on-premises setups. • Apply patterns such as event-driven, hexagonal, DDD, CQRS and clean architecture. • Design solutions for internal and external Data and AI platforms with a focus on security, versioning, documentation and reuse. • Design scalable and efficient data pipelines using tools such as Databricks, Delta Lake, Spark and Airflow. • Ensure scalability, high availability and fault tolerance. • Ensure integration across heterogeneous sources (SAS, Talend, Alteryx, Teradata, Hadoop). • Integrate multicloud (AWS, GCP, Azure) and on-premises solutions. • Support squads and partners in strategic projects. • Contribute to the evolution of the CI/CD pipeline and DevOps/DevSecOps practices applied to data. • Participate in technical and governance forums, contributing best practices. • Lead projects as part of high-performance multidisciplinary squads, acting as a key partner in understanding business needs and enabling strategies through software projects. • Interact with business areas, IT and vendors to detail scopes and schedules, address architecture designs, and plan and monitor deliveries for development, testing, infrastructure and licensing. • Ensure the establishment of implementation and configuration plans and that delivery deadlines and schedules defined for deployment of IT solutions and/or system changes and/or new system functionalities are met. • Share knowledge of technologies and languages applicable to system development. • Interact with other areas of the company to identify and resolve system issues and needs through consistent feedback and the sharing of best practices with teams and support areas.

• Implement and operationalize MLOps (model lifecycle, monitoring, traceability and governance), ensuring quality and reliability in production. • Deploy applications and pipelines according to best practices, structuring environments (DEV/QA/PRD), release criteria and rollback paths. • Serve as a technical reference, leading alignments, code reviews, mentoring and workshops to raise teams' technical maturity. • Design, develop and implement robust, scalable and secure data solutions in the Microsoft ecosystem, covering architecture, integration, processing, storage and analytics. • Define target architecture (Data Lake / Lakehouse) and standardize development practices (versioning, code review, testing, promotion between environments). • Define and assist in implementing a corporate data governance model, aligned with market frameworks (e.g., DAMA-DMBOK), including roles and responsibilities (data owner/steward), governance councils, policies and corporate standards. • Structure and operationalize data quality processes, corporate data glossary and data dictionary, taxonomies, lineage and metadata, as well as data metrics and SLAs/SLOs. • Model data (relational and dimensional), define flows and integrations, focusing on performance, scalability and cost. • Establish and disseminate data governance and security standards aligned with the Microsoft portfolio, covering access policies, compliance and auditing. • Monitor system and pipeline performance, identifying bottlenecks and leading optimization and automation initiatives. • Evaluate and recommend approaches within the Microsoft portfolio, ensuring alignment with business needs and corporate architecture guidelines. • Document architectures, flows, technical decisions and best practices, keeping repositories and artifacts up to date.

• Entwurf und Definition der gesamten Firewall-Architektur, einschließlich Segmentierungskonzepte und benutzerbasierter Firewall-Regeln. • Entwicklung und Umsetzung von Konzepten für Check Point Identity Awareness sowie benutzerbasierte Zugriffskontrolle. • Steuerung von Firewall-Migrationsprojekten, inklusive technischer Umsetzung und Change Management. • Optimierung und Dokumentation der Firewall-Regelwerke, unter Sicherstellung der Richtlinienverwaltung mit Tools wie Tufin SecureTrack und SecureChange. • Überwachung der Performance, Log-Analyse und Aufbau von Reporting-Strukturen zur Verbesserung der operativen Transparenz. • Unterstützung interner und externer Audits aus architektonischer Sicht. • Experten-Support bei der Fehlerbehebung von Identity-Awareness-Infrastrukturen und Verbindungsproblemen.

• Design, implementation and continuous improvement of modern cloud architectures (AWS & Azure) (both as a consultant in projects and as part of a managed service) • Planning and implementation of infrastructure automation (IaC, preferably Terraform) • Designing and regular review of backup strategies • Optimization of existing workloads with respect to performance, cost and security • Advising teams on cloud architecture, best practices and technology decisions • Ensuring compliance with customers' security policies • Identifying vulnerabilities and risks and implementing remediation measures • Incident management and troubleshooting of complex cloud environments • Managing the virtualization layer (Kubernetes, Docker, etc.) • Operation and further development of CI/CD pipelines • Patch and update management as well as certificate administration • Access management • Collaboration with various customer roles, e.g., application owners, DevOps and customer teams (for example, regarding security)