- Company Name
- Sanofi
- Job Title
- Sr Data and AI Engineer
- Job Description
-
Job Title: Sr Data and AI Engineer
Role Summary: Lead end‑to‑end design, development, and delivery of scalable data pipelines, datamarts and AI workflows for enterprise‑scale healthcare operations. Manage a small engineering team, enforce DataOps/MLOps best practices, and integrate GenAI and agentic systems into production.
Expectations:
- Deliver robust, compliant data solutions within regulated healthcare context.
- Mentor junior engineers and drive technical excellence.
- Seamlessly translate business requirements into technical artifacts.
Key Responsibilities:
- Design, build, and optimize Snowflake data marts, pipelines, and models using DBT, Airflow, Python.
- Implement CI/CD pipelines (GitHub Actions), infrastructure (Terraform on AWS).
- Enforce DataOps/MLOps standards: version control, testing, observability, lineage, reproducibility.
- Integrate GenAI, Retrieval‑Augmented Generation, and agentic AI components into AI Workflow platform.
- Collaborate with product, data architecture, and AI engineering stakeholders.
- Ensure data quality, security, privacy, and compliance across environments.
Required Skills:
- 5+ years data engineering leadership experience.
- Proficiency with Snowflake, Airflow, DBT, Python, SQL, AWS, Terraform, GitHub Actions.
- Experience building enterprise‑scale data pipelines, datamarts, and models.
- Strong knowledge of DataOps/MLOps, CI/CD, observability, lineage, and reproducibility.
- Familiarity with GenAI, RAG, and agentic AI integration.
- Excellent written and verbal communication, leadership, mentorship, collaboration.
- Ability to work in regulated environments (data privacy, compliance, cybersecurity).
Required Education & Certifications:
- Bachelor’s degree in Computer Science, Engineering, or related field.
- Certifications in AWS, Snowflake, or Data Engineering/Learning platforms are a plus.
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