Data Architects and Scientists -2026
Core
Designing and building scalable data architectures, data pipelines, and analytics solutions for clients in ICT, telecommunications, and energy sectors.
Role type
Senior Data Architect / Data Scientist
Builds
Enterprise data platforms, ML pipelines, and analytics dashboards
Domain
ICT, Telecommunications, Renewable/Non-renewable Energy
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud DevSecOps, Big Data Engineering, Deep Learning & GenAI, Data Modeling, Data Observability, SQL/NoSQL/Vector DBs, Event-Driven Architecture, Kubernetes, AI Governance
Preferred skills
Workload Scheduling, Mobile Development, Automotive Standards (ISO26262)
Technologies
Azure, AWS, GCP, Spark, Kafka, Airflow, Databricks, TensorFlow, PyTorch, Hugging Face, LangChain, PowerBI, Tableau, Kubernetes, OpenShift, MongoDB, Cassandra, Milvus
Responsibilities
Design data architectures and warehouse methodologies, develop and maintain CI/CD pipelines for ML applications, implement data observability stacks, integrate big data platforms and analytics services, apply AI regulatory frameworks and verification tools
Seniority
Senior, hands-on IC
