Data & IoT Solution Architect

Job description

Celfocus is a European high-tech system integrator, providing leading edge professional services focused on creating business value through Analytics and Cognitive solutions – addressing Telecommunications, Financial Services, Retail, Energy & Utilities, Pharmaceutical, and other markets' strategic opportunities.

As a highly specialised engineering company, Celfocus helps clients undergo their innovation path, providing technological solutions to extract value from data and make it actionable.

Serving clients in +25 countries, Celfocus delivers solutions that boost customer experience and enhance operational efficiency, via our Cognitive Automation, Data & Analytics and Digital offers.

Make an impact by working for sectors where technology is the enabler, everything is ground-breaking and there’s a constant need to be innovative.

Create and enhance projects in Java, Python, Angular, PHP, .NET and so much more while diving in the world of Blockchain, Artificial Intelligence, Data Science, Security and Internet of Things.

Be part of the team that combines business knowledge, technological edge and a design experience.

Our different backgrounds and know-how are key in developing solutions and experiences for digital clients.

Face challenges and learn other ways of thinking and seeing the world - there’s always room for your energy and creativity.

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.

Responsabilities

• 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.

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.

At Celfocus, we are committed to cultivate a diverse and inclusive workplace.

As an equal-opportunity employer, we welcome applicants of all backgrounds, gender identities, and abilities.

We are dedicated to providing reasonable accommodations for candidates with specific needs.

If you require any adjustments during the selection process, please inform our Talent Acquisition Team.

Come join the Team!

Required Skill Profession

Computer Occupations