Cloud Native Data Architect (f/m/d)

As part of its critical role in the energy sector, the client is developing a nextgeneration Settlement System to replace current legacy applications which are very difficult to maintain, reaching end-of-life and no longer suitable for complex developments. This new system aims to support the company's strategic objectives by:
- Accelerating settlement cycles to enable near real-time invoicing, thereby reducing credit risk and enhancing financial forecasting.
- Enhancing scalability and automation to handle increasing data volumes with minimal manual effort.
- Improving data quality and validation, ensuring accurate, consistent, and timely settlements through automated controls.
- Enabling advanced analytics and self-service insights by providing real-time, granular data access via EPIC and a centralized Data Lake.
- Supporting simulations to evaluate potential savings or impacts under various consumption scenarios.
- Standardizing market communication and integrations to seamlessly incorporate new metering technologies and automated data exchange with DSOs.

This initiative is essential for ensuring a future-proof, transparent, and agile settlement process aligned with product vision and the evolving energy market landscape.

Tasks:
- Design and Implement Cloud Native Data Architecture for the new application on a new Cloud Platform
- Define and maintain business-aligned data models
- Migration if Data-Intensive legacy Applications to the new platform
- Continuous Improvement through Documentation and Consulting of Stakeholders