Technology Architect Senior (Porto, PT) presso Körber Global Technology Solutions

Technology Architect (Senior) - m/f/d

Location: Porto 

Körber - Data & Analytics Platform Team 

We're seeking a Technology Architect to join our Platform team, working closely with our Principal Architect to build and provide the foundation, technical blueprints, and reference cases that will scale solution building across the organization. You'll collaborate with our Platform Engineers to design and establish the core architectural frameworks that enable industrial data solutions throughout our Group. 

Key Responsibilities 

Solution Architecture 

• Platform Foundation: Develop standardized architectural patterns, technical blueprints, and reference implementations that enable teams across the organization to build scalable digital solutions including digital twin projects, condition monitoring, and Industry 4.0 implementations 
  Real-time Analytics: Create streaming analytics architectures for predictive maintenance, performance optimization, and anomaly detection 

• Technology Innovation: Research, evaluate, and integrate emerging technologies into the platform architecture, establishing proof-of-concepts and adoption frameworks for new tools, frameworks, and methodologies that enhance our industrial data capabilities 

Stakeholder Engagement & Consulting 

• Business Collaboration: Work directly with engineering teams, machine engineers, technology leads and business stakeholders to translate requirements into technical solutions 

• Requirements Analysis: Lead discovery sessions to identify data opportunities and define technical specifications 

• Cross-functional Communication: Present complex technical solutions in accessible terms to diverse audiences 

• Technology Strategy: Evaluate and recommend emerging technologies for industrial data processing and analytics 

Required Skills & Experience 

Core Technical Expertise: 

• Cloud Architecture: Hands-on experience with Azure (IoT Hub, Stream Analytics, ML services), Databricks, and data lake architectures 

• Machine Learning: Knowledge of predictive maintenance, anomaly detection, and time-series analytics for industrial applications 

• Manufacturing Systems: Background in machine building, industrial automation, or heavy machinery environments 

Consulting & Communication: 

• Stakeholder Engagement: Proven consulting experience working with engineering teams and business stakeholders 

• Requirements Analysis: Strong skills in translating business needs into technical solutions 

• Cross-functional Engagement: Experience contributing to technical initiatives across diverse teams 
   

Technical Skills: 

• Programming background 

• Infrastructure: Terraform, CI/CD pipelines, containerization 

• Microsoft Suite proficiency 
  
  

Preferred: Azure certifications, Industry 4.0 experience, digital twin technologies, curiosity for emerging technologies