Staff Data Platform Engineer: Cloud, DataOps & AI

Doctolib; Paris; Sur place; EUR 60 000 - 80 000; Plein temps

Résumé du poste

A leading healthcare technology company in Paris is seeking a Staff DataOps Engineer to drive the data platform strategy and architecture. This role involves designing enterprise-scale data infrastructure, optimizing data pipelines, and providing technical guidance to teams. With a requirement of 7+ years of experience and expertise in Google Cloud and Kubernetes, candidates will engage in a fast-paced tech team environment. Competitive perks include comprehensive health insurance and flexible work options.

Prestations

Comprehensive health insurance

Parent Care Program

Mental health and coaching services

Flexible work-from-EU policy

Work Council subsidy for sport activities

Up to 14 days of RTT

Lunch voucher with Swile card

Qualifications

• 7+ years of experience architecting and scaling data platforms.
• Experience with Google Cloud Platform and Kubernetes for automated deployments.
• Deep knowledge of security best practices.
• Technical proficiency in orchestrating data pipelines.
• Excellent troubleshooting skills for data infrastructure.

Responsabilités

• Design and implement enterprise-scale data infrastructure strategies.
• Build and optimize data pipelines handling petabyte-scale datasets.
• Lead cost analysis initiatives for infrastructure optimization.
• Provide technical guidance and conduct architecture reviews.
• Evaluate emerging technologies and lead modernization.
• Ensure reliability and monitoring of the data infrastructure.

Connaissances

Data platform architecture

Google Cloud Platform

Kubernetes

Terraform

Airflow or Dagster

Python programming

Network and IAM security

Formation

7+ years of relevant experience

Outils

BigQuery

CI/CD tools

Description du poste

A leading healthcare technology company in Paris is seeking a Staff DataOps Engineer to drive the data platform strategy and architecture. This role involves designing enterprise-scale data infrastructure, optimizing data pipelines, and providing technical guidance to teams. With a requirement of 7+ years of experience and expertise in Google Cloud and Kubernetes, candidates will engage in a fast-paced tech team environment. Competitive perks include comprehensive health insurance and flexible work options.