Senior Data Platform Engineer (Observability)

Join Chartis, a leading healthcare consulting firm, as a Senior Data Platform Engineer (Observability). In this hands-on role, you will be responsible for building, scaling, and operating the Data Platform infrastructure that underpins Chartis' advisory work. You will design, deploy, and maintain data asset management pipelines, ensuring compliance with healthcare regulatory requirements. You will also drive performance, reliability, and cost optimization across the data platform, and mentor junior engineers. This is an exciting opportunity to make a meaningful impact on the delivery of healthcare.

• Conception, déploiement et maintenance de pipelines de gestion des actifs de données en utilisant Airflow ou Dagster.
• Responsabilité de l'observabilité et de l'expérience de recherche pour la plateforme de données, y compris la maintenance et l'évolution.
• Mise en œuvre et exploitation de solutions d'orchestration et de gestion des pipelines en utilisant des outils modernes de la pile de données.
• Hands-on experience with data catalog and metadata management platforms such as DataHub, Apache Atlas, or similar tools
• Experience building and scaling components of data platforms that support self-service analytics and multiple downstream consumers
• Experience establishing engineering standards, CI/CD practices, and observability for data platforms
• Strong communication skills with the ability to translate between technical and non-technical stakeholders
• Strong understanding of data observability, metadata management, data lineage, and data governance concepts
• Bachelor’s degree in a technology-related field of study (e.g. Computer Science, Health Informatics, Management Information Systems (MIS), Data Science, Analytics, etc.)
• 7+ years of experience in platform or data engineering roles, with a substantial portion focused on cloud infrastructure
• Experience with cloud-based data warehouses (Snowflake or Databricks) and with orchestration tools (Azure Data Factory, Dagster, etc.)
• Proficiency with Python
• Working knowledge of data ingestion patterns, including batch processing and exposure to change data capture (CDC) concepts