Design, implement, and operate NoSQL and graph database solutions as part of the central platform.
Take technical ownership of graph data models and query patterns for complex, highly connected domains.
Plan and execute migrations from relational or file-based data storage to NoSQL or graph databases.
Collaborate closely with backend engineering teams to integrate database solutions into existing and new backend services.
Evaluate and select appropriate NoSQL and graph database technologies for different product and platform use cases.
Ensure performance, scalability, reliability, and maintainability of database solutions in production.
Contribute to platform architecture decisions, technical standards, and best practices.
Support and enable product teams through reviews, guidance, and hands-on collaboration.
Strong hands-on experience with NoSQL and or graph databases such as Neo4j, Amazon Neptune, MongoDB, or comparable technologies.
Solid understanding of data modeling for graph and non-relational data stores.
Experience in planning and executing database migration projects.
Good understanding of backend software architectures and data access patterns.
Hands-on experience operating databases in cloud environments, preferably on AWS.
Ability to work closely with distributed engineering teams and translate requirements into robust data solutions.
Availability to work with significant overlap to business hours in Germany (CET/CEST).
Fluent English skills are required; German language skills (spoken and written) are an advantage.
Nice To Have
Experience with relational databases and hybrid data architectures.
Knowledge of performance tuning and optimization for graph workloads.
Familiarity with Infrastructure as Code, CI/CD pipelines, and DevOps practices.
Experience with observability and monitoring of database systems.
Exposure to backend technologies such as Node.js, .NET, or similar ecosystems and corresponding programming languages used in backend development.
Traits We Value
Strong ownership mindset and responsibility for platform components.
Pragmatic problem-solver with a focus on sustainable solutions.
Ability to communicate complex technical concepts clearly across teams.
Interest in platform engineering and enabling other teams to succeed.
Curiosity and willingness to continuously learn and improve.