Cloud-Native Data Architect: Kubernetes & Lakehouse

Adaltas; Paris; Híbrido; EUR 50.000 - 75.000; Jornada completa

Descripción de la vacante

Adaltas is seeking a Data Architect to lead the transformation of enterprise data platforms, focusing on Kubernetes and cloud-native architectures. The role involves designing solutions for data ingestion and lakehouse architectures while ensuring high availability and security.

Ideal candidates will have expertise in Java, Scala, and Python, and be fluent in both French and English. This position offers a permanent contract and a competitive salary based on experience and skills.

Formación

• Experience with Kubernetes and data products like S3 and Spark.
• Good understanding of infrastructure operations and high availability.
• Experience with programming in Java, Scala, and Python.
• Familiarity with cloud native architectures.

Responsabilidades

• Design and develop solutions including platform architecture.
• Provide recommendations on security and governance.
• Apply DevOps methodologies to code management and delivery.
• Collaborate with data engineers and data scientists on business problems.

Conocimientos

Kubernetes

Data ingestion

Java

Scala

Python

Linux

Docker

Data engineering pipelines

Data lakehouse architecture

Fluent in French and English

Descripción del empleo

As part of his transformation program, our customer is re-engineering his enterprise data platform and machine learning solutions and is moving to the Kubernetes eco-system and the cloud native architecture. In this re-engineering and migration, you design and develop solutions including platform architecture, data ingestion, data lakehouse architecture and data science usages.

Data comes both in batch and in streaming, processing and serving in a highly available environment. You will also be working with several frameworks relative to operation, governance and compliance.

Expected Skills

The architect must have experience with the Kubernetes (bare metal with Kubeadm, OpenShift, Rancher, …) and various data products (S3, Spark, Trino, Iceberg, Polaris, …). He will advice both on-premise and cloud architectures. He must have a good understanding in infrastructure operations, production environnements (high availability, security, governance, …), in building data engineering pipelines, and in data lakehouse architectures .

You have experience in Java, Scala and/or Python programming languages. Expertise in Linux, Docker and Kubernetes are required.

You are fluent in French and English, both spoken and written.

You can work autonomously, you can cooperate effectively with different teams onsite and offshore, you are eager to learn new technologies, and you like sharing knowledge and documenting solutions with the right level of detail.

Tasks to be conducted

• Provide recommendations on security and governance
• Apply DevOps methodologies to code management, collaboration, automation and application delivery.
• Be a force of proposal and innovation to recommand our clients with appropriate. technical decisions, security measures enforments and project management guidelines.
• Take advantage of cloud native architectures and its extensive set of tools and services.

Additional information

This is the opportunity to join one of the most active companies in the field of big data in France and to work on the most promising technologies. We offer permanent contracts. Competitive salary based on your experience and skills.

Contact

For additional information and to submit your application, please contact David Worms:

Looking for new challenges, do not hesitate to apply to join Adaltas. If no job description suits you expectations but becoming a consultant at Adaltas is your career choice, submit an unsolicited application.

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