Staff DataOps Engineer (x/f/m)

About the role

<h2><strong>Your Impact</strong></h2> <p>We are looking for a <strong>Staff DataOps Engineer</strong> to join the <strong>Data and AI Platform</strong> team.</p> <p>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 work 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 stakeholders across the organization.</p> <p>Working in the tech team at Doctolib means building innovative products and features to improve the daily lives of care teams and patients.</p> <h2><strong>What you'll build</strong></h2> <p>Your responsibilities include but are not limited to:</p> <ul> <li>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</li> <li>Build and optimize complex, multi-region data pipelines handling petabyte-scale datasets, ensuring 99.9% reliability and implementing advanced monitoring and alerting systems</li> <li>Lead cost analysis initiatives, identify optimization opportunities across our data stack, and implement solutions that reduce infrastructure spend while improving performance and reliability</li> <li>Provide technical guidance to data engineers and cross-functional teams, conduct architecture reviews, and drive adoption of best practices in DataOps, security, and governance</li> <li>Evaluate emerging technologies, conduct proof-of-concepts for new data tools and platforms, and lead the technical roadmap for data infrastructure modernization</li> </ul> <h2><strong>What you'll bring</strong></h2> <p>Before you read on: if you don't have the exact profile described below, but you feel this job description matches your skill set, we still encourage you to apply.</p> <p>You'll be a great fit if you:</p> <ul> <li>You have 7+ years of experience after graduation as a Staff Data Platform Engineer, Staff DataOps, Staff Site Reliability Engineer, or in a similar role, with a history of architecting and scaling robust data platforms</li> <li>You have extensive experience with Google Cloud Platform and a command of Kubernetes &amp; Terraform for automated deployments, and you are an authority on implementing network and IAM security best practices</li> <li>You have deep technical proficiency in orchestrating data pipelines using Airflow or Dagster, deploying applications to the cloud, and leveraging modern data warehouses such as BigQuery</li> <li>You are highly skilled in programming with Python, and have a solid understanding of software development principles</li> <li>You are an excellent troubleshooter who excels at diagnosing and fixing data infrastructure and identifying performance bottlenecks, and a strong communicator who can articulate complex technical concepts to both technical and non-technical audiences</li> </ul> <p>It would be fantastic if you:</p> <ul> <li>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</li> <li>Have actively applied data governance principles to manage data quality, security, and compliance, and understand how to implement controls that protect sensitive information</li> <li>Are experienced with CI/CD tools and methodologies for data-related projects, and can build automated pipelines that streamline development, testing, and deployment</li> <li>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</li> </ul> <h2><strong>Life at Doctolib Te

Skills