Data architect on Kubernetes - senior developer

Adaltas; Paris; Hybrid; EUR 50,000 - 75,000; Full time

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Kubernetes

Data ingestion

Java

Scala

Python

Linux

Docker

Data engineering pipelines

Data lakehouse architecture

Fluent in French and English

Job description

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 advise 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 recomend 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.

Prototype, build, deploy and operate data ingestion pipelines on critical infrastructure, generate KPIs with real-time queries.

Collaborate with other data engineers, business analysts and data scientists to solve challenging business problems on the Databricks and Azure platforms.

Deploy and operate of big data clusters, provide support to our customers and participate in the development of the data platform.