Location: Portugal (hybrid) / Netherlands (hybrid)
Level: Senior / Lead
Domain: Data Platform, AI, Cloud
SmartMed provides smart software for closed-loop medication management. With modern platform technology. Highly automated. So that it more than meets today's requirements. And tomorrow's needs.
About the role
1. As a Data Lead at SmartMed, you are responsible for designing and implementing scalable data and AI platforms within a fully cloud-native, event-driven microservices architecture.
2. You play a key role in shaping our data architecture and ensure that teams can independently develop high-quality data and AI solutions.
3. You operate at the enterprise level and influence architectural decisions across multiple domains.
4. You work at the intersection of architecture, engineering, and innovation, translating complex challenges into future-proof platform solutions.
What will you be doing?
Designing and further developing data and AI platforms
Defining architecture standards and technology choices
Implementing governance, security, and scalability
Setting up MLOps processes
Integrating AI/LLM solutions into enterprise architecture
Setting up CI/CD pipelines and infrastructures
Advising and guiding data engineers, scientists, and stakeholders
Serving as the technical point of contact for platform and architecture
️ Your tech stack
You'll work with modern technologies such as:
Cloud & Platform: Azure, Databricks, Microsoft Fabric
Data Engineering: Python, SQL
MLOps & AI: MLflow, Azure Machine Learning, LLM frameworks
DevOps: Azure DevOps, Terraform, Bicep, Git
Containerization: Kubernetes, Docker
Networking & Security: Azure networking, IAM
Who are we looking for?
At least 5+ years of experience in data engineering / data platforms
Proven experience as a Data Architect or Lead Engineer
Strong knowledge of Azure and Databricks
Experience with:
o Lakehouse architecture
o Data governance and data cataloging
o CI/CD and DevOps practices
Affinity with AI and machine learning (MLOps, LLMs)
Strong communication skills and a coaching mindset
What makes this role unique?
Working on complex, scalable data and AI platforms
Plenty of room for architectural choices and innovation
Direct impact on multiple teams and domains
Combination of hands-on engineering and strategic design
Working with the latest developments in GenAI and distributed ML
Nice to have
Certifications such as:
Azure Solutions Architect (AZ-305)
Databricks Data Engineer / Architect
Interested?
Would you like to work on platforms where data, AI, and scalability come together? Then we'd love to hear from you. Submit your application here or to