onsite
Data Model Architect - Siemens Energy Global GmbH & Co. KG
Software Engineer
Lead the design and implementation of enterprise data models, ensuring optimal structure, performance, and governance across relational and NoSQL systems using SQL, Python, and Spark.
About the role
Key Responsibilities
- Architect and maintain scalable data models for large-scale analytics and reporting platforms.
- Collaborate with data engineers, analysts, and business stakeholders to translate business requirements into robust data structures.
- Design and optimize ETL pipelines, ensuring data quality, consistency, and performance across on-premise and cloud environments.
- Implement data governance, security, and compliance standards within the data architecture.
- Evaluate and integrate emerging data technologies (e.g., graph databases, real-time streaming) to enhance analytical capabilities.
Requirements
- 5+ years of experience in data modeling, database design, and ETL development.
- Proficiency in SQL, NoSQL, and data warehousing concepts.
- Hands‑on experience with Python, Spark, and cloud data services (AWS, GCP, or Azure).
- Strong analytical skills and ability to communicate complex concepts to non‑technical audiences.
- Experience with data governance, security, and compliance frameworks is a plus.