Solution Architect Database & Data Engineering (mfd)

To strengthen our architecture capabilities GD is seeking an experienced Solution Architect (m/f/d) with a strong focus on database and data this role you will support the evolution of our software solutions portfolioranging from high-performance banknote processing systems to SaaS offeringsused by leading central and commercial banks worldwide.

You will design scalable and resilient data(-base) architectures across on-premises and cloud environments integrating classical relational database systems with modern data lake and analytics architectures on Azure. Working closely with development teams Product Management and other stakeholders you will ensure that data platforms meet functional non-functional and regulatory requirements.

A key aspect of this role is hands-on collaboration with engineering teams: validating architectural decisions through prototypes defining reusable patterns and reference architectures and supporting the implementation and evolution of both relational database platforms and modern data lake solutions.

Your responsibilities

• Design and validate scalable data models and storage concepts across relational and NoSQL technologies.
• Guide teams in adopting modern cloud data patterns (e.g. lakehouse event-driven data flows API-centric services) and ensure architectural consistency across data products.
• Define and oversee batch and streaming data pipelines to enable secure reliable and efficient data ingestion transformation and distribution.
• Ensure data governance security privacy and compliance in alignment with internal policies customer requirements and regulatory standards.
• Lead proof-of-concepts to evaluate and validate emerging technologies for data integration analytics and cloud-based data management.
• Collaborate with development teams in Munich and India across all phases of the product development lifecycle supporting architecture-driven decisions from ideation through deployment and operations.
• Partner closely with Product Management Service Security and Legal to translate business operational and regulatory requirements into practical scalable and secure architectural solutions.

Your requirements

• Bachelors or Masters degree in Computer Science Information Technology or a related field.
• 8 years of professional experience in data engineering data architecture or platform architecture roles.
• Proven experience designing and implementing Azure-based data solutions (e.g. Azure Data Factory Databricks Event Hub).
• Strong expertise in relational database systems (e.g. Oracle PostgreSQL) and NoSQL technologies (e.g. MongoDB).
• Solid understanding of modern data architectures including data lakes lakehouse concepts and event-driven data platforms.
• Hands-on experience with batch and streaming data integration technologies (e.g. ETL tools Kafka Azure Event Hub).
• Deep technical knowledge of data modeling performance optimization partitioning indexing and scaling strategies.
• Familiarity with analytics BI data governance or ML-related platforms is a plus.
• Strong stakeholder management and communication skills with the ability to explain complex data concepts to non-technical audiences.
• Very good written and spoken German and English skills.
• Proven ability to collaborate effectively with globally distributed and cross-functional teams.

$$ We are an equal opportunity employer! We promote diversity in all its forms and create an inclusive work environment free from prejudice discrimination and harassment in which all employees feel a sense of belonging. We warmly welcome all applications regardless of gender age race or ethnic origin social and cultural background religion disability and sexual orientation.

$$Samson Tzeggai $$ $$ $$$$ Experience:

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