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Data & IoT Solution Architect

Lisboa

Descrição da posição

About the role

We are looking for a passionate Solution Architect to lead end-to-end IoT solutions, with a high focus on data enablement and AI-driven applications, in cloud and hybrid environments.

You will bring your expertise in Data & AI and your knowledge and passion of IoT ecosystems to design and guide the implementation of robust and scalable platforms, and Data & AI driven applications. Working collaboratively, you will be leading the assessment of options, designing the architecture, and guiding teams on the implementation of solutions for our enterprise customers.

From monitoring connectivity of IoT devices, through data aggregation and analytics, to workflow automation or blockchain-enabled applications, you will be at the forefront of innovation and value creation for our customers. These applications deliver major value for their products and their business efficiency, including real-time analytical capabilities, service monitoring, anomaly detection and correlation using online machine-learning.

Responsibilities

  • Define and evolve modular, scalable, and future-proof architectures for IoT-related solutions. Enable hyperautomation across IoT ecosystems by integrating data, AI, and workflow orchestration into intelligent, event-driven architectures.
  • Select and map the appropriate technology components for architecture and solution requirements. Continuously evaluate and test new technologies, platforms, products, and cloud services when needed.
  • Act as a technical lead and key reference for customers. Define integration architecture with external systems, identifying technical dependencies, risks, and solutions.
  • Drive continuous improvement in architecture strategies and technology for IoT solutions.
  • Collaborate with business teams to align technical capabilities with monetization strategies.

Requirements

Tech skills

Must-Have — Core Competences

Having a core focus on Data & AI driven solutions you will have strong practical experience across as many of the following as possible:

  • Cloud-Native & Distributed Architectures (AWS, Azure, GCP, Kubernetes, Terraform,)
  • Data Platforms & Streaming → Data (Data Lakes, SQL and NoSQL, Time-Series DBs, Graph DBs), Mediation (NiFi, Airflow, Pentaho), brokering (Kafka, RabbitMQ, HiveMq) and streaming (Kafka Streams, Flink, Spark Streaming).
  • Data Modeling & Interaction → Data modeling and dynamic knowledge representation, graph-based, time-series, relational and hierarchical data models; Data reports, interactive dashboards, graph and maps visualizations.
  • Hyper automation → Architecting systems that transform IoT data into actionable insights and automated responses with low latency, integrating AI/ML in process orchestration and workflow engines (e.g., Airflow, Camunda).
  • Security & Compliance Architecture → Data encryption (at rest/in transit), IAM, Zero Trust, API Security, GDPR, ISO 27001.


Important-to-Have — Context Competences

By having first-hand project experience, a passion to make end-to-end IoT applications to really work, and a deep curiosity to know more beyond your work remits, you will have knowledge and experience spanning as many as the following as possible:

  • Edge-to-Cloud Architecture → Design scalable edge-to-cloud architectures, optimize data flow, and balance edge intelligence vs. centralized processing.
  • IoT Platforms → Knowledge in key IoT platforms in the market (e.g. AWS IoT Hub, Azure IoT Core, Thingworkx, Thingsboard)
  • IoT Data Exchange Standards → Understanding of data serialization formats for efficient transport and processing (e.g., Protobuf, Avro), familiarity with observability and telemetry frameworks (e.g., OpenTelemetry, Prometheus), knowledge of IoT and industrial data exchange protocols (MQTT, OPC-UA, SNMP, Modbus, Profinet).
  • IoT Device Management → Secure onboarding, provisioning, edge-to-cloud, multi-vendor interoperability and remote device management;
  • API & Enterprise Integration → Designing secure, API-first architectures using event-driven microservices, API-Gateways (Kong, Apigee, AWS API Gateway), and integrations with Enterprise IT systems (ERP, CRM, Supply Chain Management,…).
  • Connectivity Knowledge → Knowledge of IoT connectivity layers (e.g., 4G/5G connectivity, LPWAN).
  • Cost-Aware & Scalable Thinking → Ability to balance performance, scalability, and cost-efficiency across cloud, edge, and hybrid deployments.
  • Operational & Human-Centric Perspective → Practical focus in the solution operational feasibility, user adoption and experience.
  • Project & Leadership Experience → Leading cross-functional engineering teams, guiding technical decision-making, and ensuring successful delivery in agile environments


Personal Traits

  • BSc or MSc in Computer Engineering, Electrical Engineering or IT-related courses;
  • 8+ years in Software Engineering and Architecture.
  • Proven ability to design end-to-end solutions for scalable, data-driven architecture, integrating AI-driven automation.
  • Deep capacity and motivation for leading cross-functional technical teams and mentoring talent.
  • Previous experience working with enterprise customers and complex solution deployments.
  • You have passion for IoT, and you balance your innovation capacity with implementation pragmatism, while ensuring the quality and performance of your solutions.

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