Ranking: 2609
Design AI-driven solution architectures aligned with business and regulatory requirements.
Define cloud-native architectures in AWS and/or Azure.
Architect scalable data platforms (Data Lake, Data Warehouse, Lakehouse).
Design and optimize batch and streaming ingestion pipelines.
Implement governance frameworks: lineage, cataloging, classification, GDPR/LOPD compliance.
Define MLOps strategies including CI/CD/CT, versioning, monitoring, and drift detection.
Architect batch and real-time scoring solutions via APIs or event-driven systems.
Lead observability strategies (logs, metrics, distributed tracing).
Ensure model risk management, explainability (XAI), and regulatory compliance.
Design and implement Generative AI solutions (RAG, embeddings, vector databases, secure prompt management).
AWS and/or Azure
Docker
Kubernetes / OpenShift
CI/CD pipelines
Jenkins
Bitbucket
Data Lake, Data Warehouse, Lakehouse (Snowflake)
Kafka / AMQ / MSK
Batch & streaming pipelines
Ingestion optimization
Prometheus
Grafana
ELK Stack
CloudWatch
Supervised, unsupervised, and time-series models
Batch & streaming scoring architectures
MLOps (CI/CD/CT, model versioning, monitoring, drift detection)
GenAI (RAG, embeddings, vector databases)
Model risk management & explainability (XAI)
Data lineage, cataloging, classification
GDPR / LOPD compliance
Archimate knowledge
Data Mesh & advanced Lakehouse architectures
NoSQL databases (document, graph, time-series)
Apache Airflow
Denodo (data virtualization)
Iceberg transactional formats
Advanced NLP & multimodal models
Fine-tuning techniques (LoRA, adapters)
Enterprise Feature Stores (batch + real-time)
Hybrid / edge AI deployments
Bizzdesign
Project Management or Service Management knowledge
5+ years of experience in Solution Architecture, AI Architecture, or Backend Architecture roles.
Strong strategic mindset with hands-on technical depth.
Ability to design scalable, secure, and compliant AI ecosystems.
Experience leading cross-functional technical initiatives.
Strong analytical and problem-solving capabilities.
Design AI-driven solution architectures aligned with business and regulatory requirements.
Define cloud-native architectures in AWS and/or Azure.
Architect scalable data platforms (Data Lake, Data Warehouse, Lakehouse).
Design and optimize batch and streaming ingestion pipelines.
Implement governance frameworks: lineage, cataloging, classification, GDPR/LOPD compliance.
Define MLOps strategies including CI/CD/CT, versioning, monitoring, and drift detection.
Architect batch and real-time scoring solutions via APIs or event-driven systems.
Lead observability strategies (logs, metrics, distributed tracing).
Ensure model risk management, explainability (XAI), and regulatory compliance.
Design and implement Generative AI solutions (RAG, embeddings, vector databases, secure prompt management).
AWS and/or Azure
Docker
Kubernetes / OpenShift
CI/CD pipelines
Jenkins
Bitbucket
Data Lake, Data Warehouse, Lakehouse (Snowflake)
Kafka / AMQ / MSK
Batch & streaming pipelines
Ingestion optimization
Prometheus
Grafana
ELK Stack
CloudWatch
Supervised, unsupervised, and time-series models
Batch & streaming scoring architectures
MLOps (CI/CD/CT, model versioning, monitoring, drift detection)
GenAI (RAG, embeddings, vector databases)
Model risk management & explainability (XAI)
Data lineage, cataloging, classification
GDPR / LOPD compliance
Archimate knowledge
Data Mesh & advanced Lakehouse architectures
NoSQL databases (document, graph, time-series)
Apache Airflow
Denodo (data virtualization)
Iceberg transactional formats
Advanced NLP & multimodal models
Fine-tuning techniques (LoRA, adapters)
Enterprise Feature Stores (batch + real-time)
Hybrid / edge AI deployments
Bizzdesign
Project Management or Service Management knowledge
5+ years of experience in Solution Architecture, AI Architecture, or Backend Architecture roles.
Strong strategic mindset with hands-on technical depth.
Ability to design scalable, secure, and compliant AI ecosystems.
Experience leading cross-functional technical initiatives.
Strong analytical and problem-solving capabilities.
