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Data architect (azure/databricks/ai)

Beja
Smartmed B.V.
Anunciada dia 26 abril
Descrição

Location: Portugal (hybrid) / Netherlands (hybrid) Level: Senior / Lead Domain: Data Platform, AI, CloudSmartMedprovides 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 Architect 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, IAMWho 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: oLakehouse architecture oData governance and data cataloging oCI/CD and DevOps practices ·Affinity with AI and machine learning (MLOps, LLMs) ·Strong communication skills and a coaching mindsetWhat 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 MLNice to have Certifications such as: ·Azure Solutions Architect (AZ-305) ·Databricks Data Engineer / ArchitectInterested?
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

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