onsite
Lead Data & Systems Architect - Rheinmetall AG
Software Engineer
Lead the design and implementation of scalable data and system architectures, driving data strategy, cloud integration, and advanced analytics across enterprise platforms.
About the role
Key Responsibilities
- Architect end‑to‑end data solutions, from ingestion to analytics, ensuring performance, security, and compliance.
- Lead cross‑functional teams in designing cloud‑native (AWS) infrastructures and data pipelines using Python and SQL.
- Define data models, governance frameworks, and metadata management to support business intelligence and machine learning initiatives.
- Collaborate with DevOps to implement CI/CD pipelines, automated testing, and monitoring for data services.
- Evaluate emerging technologies, recommend tooling, and drive continuous improvement of data architecture.
Requirements
- 10+ years of experience in data architecture, with a strong background in cloud platforms (AWS).
- Proficiency in Python, SQL, and data modeling techniques.
- Hands‑on experience with machine learning pipelines and model deployment.
- Excellent communication skills and proven ability to lead technical teams.
- Strong understanding of security, compliance, and data governance best practices.
Skills
pythonsqlawsmachine learning