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We are looking for a Staff DataOps / Platform Engineer to join the Data and ML platform team. As a Staff DataOps / Platform Engineer, your mission will be to shape our data platform strategy and architecture, driving enterprise-scale solutions that accelerate machine learning initiatives, enable engineering excellence, and unlock business insights. You will be working in a team at the heart of Doctolib's data-driven transformation, enabling innovation through robust, scalable data infrastructure that empowers engineers, AI teams, and business across the organization.
Job Responsibility:
Design and implement enterprise-scale data infrastructure strategies, conducting thorough impact and cost analysis for major technical decisions, and establishing architectural standards across the organization
Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems
Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability
Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance
Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization
Requirements:
7+ years of experience after graduation as a Senior Data Platform, Senior Data Engineer or in a similar role, with a history of architecting and scaling robust data platforms
Extensive experience with Google Cloud Platform and a command of Kubernetes & Terraform for automated deployments
Authority on implementing network and IAM security best practices
Deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery
Highly skilled in programming with Python, and have a solid understanding of software development principles
Excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks
Strong communicator who can articulate complex technical concepts to both technical and non-technical audiences
Nice to have:
Have hands-on experience building and deploying APIs, with a strong preference for frameworks like FastAPI, and are skilled at designing APIs that provide reliable and efficient access to data
Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information
Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment
Have practical experience with cloud cost optimization and FinOps principles, actively experimenting with cost-reduction strategies, and are comfortable analyzing infrastructure spending and optimizing resource allocation
What we offer:
Free comprehensive health insurance for you and your children
Parent Care Program: receive one additional month of leave on top of the legal parental leave
Free mental health and coaching services through our partner Moka.care
For caregivers and workers with disabilities, a package including an adaptation of the remote policy, extra days off for medical reasons, and psychological support
Work from EU countries and the UK for up to 10 days per year, thanks to our flexibility days policy
Work Council subsidy to refund part of sport club membership or creative class
Up to 14 days of RTT
A subsidy from the work council to refund part of the membership to a sport club or a creative class