Kyndryl
LeadDataArchitect(DataOps)
Neural analysis suggests this role is
optimal for Lead candidates.
“Lead Data Architect (DataOps) at Kyndryl. Skills: DataOps, Cloud Data Architecture, Data Governance, Data Engineering. Lead analytical solutions delivery. Coordinate high-performing technical teams”
Industry & Context.
Root cause analysis; Troubleshooting; Data-driven decision making
What They're Looking For.
Must Have
5+ years leading data engineering teams, 4+ years Data Architect, 3+ years real-time data solutions, 3+ years optimizing data platforms, 2+ years Docker and Kubernetes, 2+ years Data Engineer, University degree in Engineering, English B2 or higher
Nice to Have
DataOps leadership desirable, Databricks Lakehouse management, Dataiku for data science, Apache Kafka and Flink knowledge, GCP Professional Cloud Architect, AWS Certified Solutions Architect, GCP Professional Data Engineer, Azure Solutions Architect Expert, Dataiku MLOps Practitioner Certified
What You'll Do.
Lead analytical solutions delivery
Coordinate high-performing technical teams
Design modern cloud architectures
Implement DataOps methodologies
Optimize data lifecycle
Orchestrate data flows
Ensure production environment resilience
Provision and manage cloud resources
Optimize data platforms
How You'll Work.
Team & Collaboration
Agile environments; Cross-functional teams
Process & Methodology
Agile
Full Job Description
**Who We Are** At Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world’s leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people—Kyndryls—that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive. **The Role** Arquitecto de Datos con amplia trayectoria liderando la entrega de soluciones analíticas de alto impacto y coordinando equipos técnicos de alto rendimiento. Experto en el diseño y despliegue de arquitecturas modernas en la nube, con una sólida base como Data Engineer y Consultor de Datos. Especialista en la implementación de metodologías DataOpspara optimizar el ciclo de vida del dato, garantizando escalabilidad, calidad y agilidad en entornos empresariales complejos. **Who You Are** _**Experiencia profesional**_ * +5 años liderando equipos técnicos y de ingeniería de datos en entornos Agile, actuando como Líder Técnico y coordinador de estrategias DataOps (deseable). * +4 años como Consultor y Arquitecto de Datos especializado en Google Cloud Platform, Microsoft Azure, AWS, diseñando arquitecturas complejas. * +3 años en el diseño e implementación de soluciones de datos en tiempo real utilizando Apache Kafka y Apache Flink para procesamiento de eventos de baja latencia. * +3 años operando y optimizando plataformas de datos empresariales como Databricks y Dataiku para analítica avanzada y Vertex AI para flujos de Machine Learning. * +2 años de experiencia trabajando con Docker y Kubernetes (GKE, AKS) para la orquestación y automatización de aplicaciones en contenedores. * +2 años de experiencia directa como Data Engineer, garantizando la robustez de pipelines ETL/ELT y la calidad del dato bajo un enfoque centrado en el cliente _
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