Encora
ArquitectoSeniorDatayAnalytics
Neural analysis suggests this role is
optimal for Senior candidates.
“Arquitecto Senior Data y Analytics at Encora. Skills: Event-driven architecture, Data streaming, Real-time pipelines, Azure, Databricks. Lead enablement of event-driven capabilities within the bank's. Design real-time event and streaming-based data architectures”
Industry & Context.
Problem-solving
Availability to go to office on client demand in Lima
What They're Looking For.
Must Have
7+ years of experience in data architecture and engineering, Solid experience in event-driven architectures and data streaming ecosystems, Hands-on experience with CDC (Change Data Capture), Proficiency in Apache Kafka, Spark Streaming, Kafka Connect, Kafka Streams, and Schema Registry, Experience in design and implementation of real-time data pipelines, Experience working on cloud data platforms like Azure and Databricks, Knowledge of large-scale event processing and orchestration, Ability to work cross-functionally with multiple technical and business areas, Experience leading technical initiatives and managing work teams, Excellent communication, leadership, and problem-solving skills
Nice to Have
Experience in banking, fintech, or highly regulated industries, Knowledge of microservices architectures and distributed systems, Experience with data platform observability and monitoring tools, Knowledge of DevOps and CI/CD automation in data ecosystems, Certifications in Azure, Databricks, or streaming technologies
What You'll Do.
Lead enablement of event-driven capabilities within the bank's
Design real-time event and streaming-based data architectures
Define and implement scalable data pipelines using streaming
Design event processing solutions using Apache Kafka
Work on cloud data platforms in Azure and
Implement and optimize integrations using Kafka Connect
Collaborate with multidisciplinary business
Ensure solutions align with bank objectives
Lead technical initiatives for data platform modernization
Participate in defining data architecture standards
Manage and support technical teams within agile and
How You'll Work.
Team & Collaboration
Multidisciplinary teams; Business teams; Data teams; Engineering teams; Architecture teams; Agile environments; Collaborative environments
Communication Scope
Communication; Leadership
Process & Methodology
Agile
Full Job Description
Título del puesto: Arquitecto de Data Habilidades clave: Apache Kafka, Spark Streaming, Event Driven Architecture, CDC, Azure, Databricks, Kafka Streams, Real-Time Pipelines Experiencia: +7 años de experiencia Ubicación: Solo residentes de Perú. Modalidad: Remoto (con disponibilidad de ir a oficina a demanda de cliente en Lima) En Coforge estamos buscando un Arquitecto de Data (#21622) con el siguiente perfil. Responsabilidades principales Liderar la habilitación de capacidades event-driven dentro del ecosistema de datos de la plataforma del banco. • Diseñar arquitecturas de datos en tiempo real basadas en eventos y streaming. • Definir e implementar pipelines de datos escalables utilizando tecnologías de streaming y CDC (Change Data Capture). • Diseñar soluciones de procesamiento de eventos utilizando Apache Kafka, Spark Streaming y componentes asociados. • Trabajar sobre plataformas cloud de datos en Azure y Databricks. • Implementar y optimizar integraciones utilizando Kafka Connect, Kafka Streams y Schema Registry. • Colaborar con equipos multidisciplinarios de negocio, data, ingeniería y arquitectura para asegurar soluciones alineadas a los objetivos del banco. • Liderar técnicamente iniciativas de modernización de plataformas de datos. • Participar en definición de estándares, buenas prácticas y lineamientos de arquitectura de datos. • Gestionar y acompañar equipos técnicos dentro de entornos ágiles y colaborativos. Requisitos indispensables +7 años de experiencia en arquitectura e ingeniería de datos. • Experiencia sólida en arquitecturas event-driven y ecosistemas de streaming de datos. • Experiencia práctica con CDC (Change Data Capture). • Dominio de tecnologías como Apache Kafka, Spark Streaming, Kafka Connect, Kafka Streams y Schema Registry. • Experiencia en diseño e implementación de pipelines de datos en tiempo real. • Experiencia trabajando sobre plataformas de datos cloud como Azure y Databricks. • Conocimiento de procesamiento y orquestación de eve
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