Cloud Data Platform Engineer

This is a fully remote position, open to applicants in France.

📋 Description

• Create a product-centric, self-service Data Platform services offering.

• Establish reusable patterns, standardized ingestion and transformation services, along with associated SLAs and responsibilities between Forge and Feature Teams.

• Develop and industrialize a Snowflake-based data platform for Data Engineering, Analytics, Machine Learning, and GenAI.

• Enhance platform performance, security, and cost-effectiveness.

• Design and manage the Data Platform infrastructure on AWS utilizing cloud-native, serverless, and event-driven architectures.

• Establish standards for security, IAM, networking, observability, and resilience through Infrastructure as Code.

• Ensure operational excellence via DevOps and DataOps, implementing GitLab CI/CD pipelines, automation, monitoring, alerting, and service reliability.

• Act as a technical authority and advisor for the teams.

• Design onboarding processes, create documentation, lead communities of practice, and advocate for cloud, data, security, and FinOps standards.

• Accelerate initiatives in Data Science, Machine Learning, and GenAI while supporting the platform’s growth and scalability.

⛳️ Requirements

• An engineering degree, university Master’s degree, or equivalent qualification in Computer Science, Data, Cloud Computing, or Information Systems.

• Over 5 years of experience with large-scale data platforms.

• Experience in a Data Mesh or a highly self-service data environment is highly preferred.

• Proficient in Snowflake: advanced administration, security (RBAC, network policies), performance and cost optimization, Snowpipe, Tasks, Streams, and Snowpark.

• Familiarity with AWS: cloud-native and serverless architectures, IAM, KMS, VPC, PrivateLink, observability, S3, Lambda, ECS, and MSK.

• Knowledge of DevOps & DataOps: GitLab CI/CD pipelines, Terraform Infrastructure as Code, deployment automation, infrastructure testing, environment management, SLOs/SLAs, and incident management.

• Experience with dbt & Astronomer/Airflow: transformation patterns, data pipeline orchestration, and deployment workflows across multi-team settings.

• Understanding of FinOps, large-scale ML/GenAI use cases, and Data Mesh/platform-as-a-product concepts is a plus.

• SnowPro Core or Advanced certification is highly preferred.

• AWS Solutions Architect certification is highly preferred.

• Ability to document and articulate complex concepts clearly while supporting Data Engineers, Data Scientists, and ML Engineers.

• Experience in an English-speaking work environment.

🏝️ Benefits

• Remote work flexibility several days a week from France.

• Options for flexible working: from home, in our offices, or even at our hotels and coworking spaces through Worklib.

• Every Wednesday afternoon is dedicated to focused work and personal development.

• Individually and collectively defined training and career development paths.

• Opportunities for hackathons, technology partnerships, dedicated talent management, certifications, and access to a dedicated learning platform.

• ALL – Heartist® program: special rates and flash offers for stays and experiences at all Accor properties and with its partners.

• Heartist® for Good volunteering program: one paid volunteering day per year.

• Support from the Works Council (CSE) for cultural and sporting activities.

• Sustainable Mobility allowance or company bicycle scheme in partnership with Zenride.

• Coverage of urban public transport subscriptions.

• €11 meal vouchers.

• Mandatory health insurance funded 50% by Accor, with no additional cost for enrolling eligible dependents.

• Access to collaborative workspaces, restaurants, gaming areas, and on-site wellness and sports facilities, or through Gymlib.

• A multicultural, English-speaking environment.