Data & Architecture Lead for Datalake & AI-Ready Platforms

Network Solutions Factory; Lyon; Hybrid; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Profit-sharing and employee savings计划

Annual vacation bonus

Meal vouchers subsidized at 59,89% by 

Family health insurance, subsidized at

Provision of additional health insur

Job summary

Network Solutions Factory is seeking a pragmatic Solution Architect to define, validate, and govern architecture principles for internal applications, automation platforms, Datalake environments, and integration layers. The role focuses on scalable, secure, and standardized solutions while avoiding fragmentation.

You will lead architecture sessions, define patterns across ingestion, processing, and serving, and support AI-ready architectures for future use cases. Strong English required.

Qualifications

• Strong experience in Datalake architecture
• Deep understanding of data ingestion, messaging, batch/stream processing, storage, serving and visualization
• Ability to document architecture decisions and explain technical choices clearly

Responsibilities

• Define architecture principles and technical standards.
• Validate technical designs when required.
• Define architecture patterns for internal apps, APIs, automation tools, and integration flows.
• Lead architecture governance and session facilitation.
• Evaluate new technologies and support strategic technical decisions.
• Ensure solutions are scalable, secure, observable, and maintainable.

Skills

Architectural leadership

Datalake architecture

CI/CD

DevOps

Kubernetes

Tools

NiFi

Kafka

Flink

Spark

Airflow

Druid

Trino

Superset

Iceberg

Parquet

Job description

Network Solutions Factory is seeking a pragmatic Solution Architect to define, validate, and govern architecture principles for internal applications, automation platforms, Datalake environments, and integration layers. The role focuses on scalable, secure, and standardized solutions while avoiding fragmentation.

You will lead architecture sessions, define patterns across ingestion, processing, and serving, and support AI-ready architectures for future use cases. Strong English required.