Solution Architect - Database & Data Engineering

• 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.

Do you have experience in Relational databases?, Do you have a Master's degree?, * Bachelor's or Master's 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.

Giesecke+Devrient ist ein weltweit tätiges Unternehmen für Sicherheitstechnologien, sowohl in der physischen als auch in der digitalen Welt. Milliarden von Menschen profitieren in ihrem privaten und geschäftlichem Alltag von G+D. Mit rund 11.600 Beschäftigten in 32 Ländern entwickeln, produzieren und vertreiben wir Produkte und Lösungen rund um die Absicherung von Bezahlvorgängen, Identitäten, Konnektivität und Daten.

Alles begann 1852 in Leipzig mit dem Druck von Wertpapieren. Heute ist unser Portfolio so vielseitig wie das moderne, mobile Leben. Wer mit Bargeld, Karte oder dem Smartphone bezahlt, nutzt mit hoher Wahrscheinlichkeit unsere Technologien.

Hinter all diesen Facetten steht ein gemeinsames Ziel: Creating Confidence – Vertrauen schaffen. Damit dies in allen Bereichen noch besser gelingt, untergliedert sich die Unternehmensgruppe seit 2017 in vier Unternehmensbereiche: in G+D Currency Technology, G+D Mobile Security, Veridos – ein Joint Venture mit der Bundesdruckerei – und in die börsennotierte secunet Security Networks AG.