Data & IoT Solution Architect Lisboa

Data & IoT Solution Architect
Lisboa
Lisboa, Lisboa, Portugal

Overview

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

Responsibilities

• Define and evolve modular, scalable, and
  - proof architectures for Io
  T-related solutions. Enable hyperautomation across Io
  T ecosystems by integrating data, AI, and workflow orchestration into intelligent,
  - 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 Io
  T 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 No
  SQL, Time-Series DBs, Graph DBs), Mediation (Ni
  Fi, Airflow, Pentaho), brokering (Kafka, Rabbit
  MQ, Hive
  Mq) and streaming (Kafka Streams, Flink, Spark Streaming).
• Data Modeling & Interaction → Data modeling and dynamic knowledge representation,
  - based,
  - series, relational and hierarchical data models; Data reports, interactive dashboards, graph and maps visualizations.
• Hyper automation → Architecting systems that transform Io
  T 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
  - hand project experience, a passion to make
  -
  - end Io
  T 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
  -
  - cloud architectures, optimize data flow, and balance edge intelligence vs. centralized processing.
• Io
  T Platforms → Knowledge in key Io
  T platforms in the market (e. g. AWS Io
  T Hub, Azure Io
  T Core, Thingworx, Thingsboard)
• Io
  T Data Exchange Standards → Understanding of data serialization formats for efficient transport and processing (e. g. , Protobuf, Avro), familiarity with observability and telemetry frameworks (Open
  Telemetry, Prometheus), knowledge of Io
  T and industrial data exchange protocols (MQTT, OPC-UA, SNMP, Modbus, Profinet).
• Io
  T Device Management → Secure onboarding, provisioning,
  -
  - cloud,
  - vendor interoperability and remote device management.
• API & Enterprise Integration → Designing secure, API-first architectures using
  - driven microservices, API-Gateways (Kong, Apigee, AWS API Gateway), and integrations with Enterprise IT systems (ERP, CRM, Supply Chain Management).
• Connectivity Knowledge → Knowledge of Io
  T connectivity layers (4G/5G connectivity, LPWAN).
• Cost-Aware & Scalable Thinking → Ability to balance performance, scalability, and
  - 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
  - functional engineering teams, guiding technical
  - 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 solutions for scalable,
  - driven architecture, integrating AI-driven automation.
• Deep capacity and motivation for leading
  - functional technical teams and mentoring talent.
• Previous experience working with enterprise customers and complex solution deployments.
• You have passion for Io
  T, 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
- 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! Celfocus is a European
- 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
- ' 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.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Engineering and Information Technology

Industries

• IT Services and IT Consulting