Solution Architect for Data Scale-Up (m/f/d)

A company is seeking a Solution Architect to support and guide customers across key project stages, from initial setup and implementation through testing, go-live, and post-production. The role involves working closely with customers to ensure the successful adoption of enterprise data platform solutions, with a focus on designing, implementing, and optimizing data architecture.

This position combines hands-on technical expertise with solution architecture responsibilities. The Solution Architect will act as a trusted advisor, bridging business and engineering, resolving complex technical challenges, and ensuring high-quality, scalable solutions in a client-facing environment. The ideal candidate will be a strong technical leader capable of driving architectural vision, supporting delivery teams, and ensuring customers achieve their desired outcomes throughout the project lifecycle.

• Own the full lifecycle of solution delivery, including requirements gathering, architectural design, installation, integration, testing, deployment, and post-production support.
• Develop deep expertise in the enterprise data platform and its components, such as Micro-Database architecture, data pipelines, data integration, and data management capabilities.
• Prototype solutions, oversee implementations, and guide internal and client teams with best practices and architectural oversight.
• Engage with stakeholders to elicit requirements, translate business needs into technical designs, lead design workshops, and present proposals/roadmaps.
• Define and maintain architecture artifacts, including solution diagrams, flowcharts, integration designs, deployment models, API specifications, and technical documentation.
• Mentor and coach client-side engineers, providing reviews, guidance, and technical feedback.
• Ensure quality, validation, and long-term supportability of delivered solutions, focusing on maintainability, extensibility, monitoring, and operation.
• Drive best practices for the platform, including data management, real-time data processing, integration patterns, and performance optimization.
• Advocate for the client internally, serving as the technical voice for the project and collaborating with product teams as needed.

• Solid foundation in designing scalable, distributed, hybrid, or cloud-based systems (e.g., microservices, data pipelines, event-driven architecture).
• Strong experience in Linux/Unix environments (shell scripting, administration).
• Proven ability to design and deliver end-to-end solutions aligned with customer business requirements.
• At least 2 years in a customer-facing technical role working directly with clients, gathering requirements, and presenting designs.
• Demonstrated ability to mentor or lead technical teams while remaining hands-on.
• Excellent verbal and written communication skills, capable of presenting to technical and non-technical stakeholders.
• Strong analytical and problem-solving skills, with attention to detail, quality, and long-term supportability.
• Experience with test data management (TDM), data provisioning, masking, subsetting, or synthetic data generation.
• Familiarity with entity-based data models, data privacy, PII masking/tokenization strategies, and anonymization techniques.
• Experience integrating with CI/CD/DevOps tools (e.g., Jenkins, GitLab, Azure DevOps) to automate deployments and provisioning.
• Exposure to cloud platforms (AWS, Azure, GCP) or hybrid cloud environments.
• Experience designing for high performance, scalability, and fault tolerance in data-intensive systems.
• Familiarity with relational and non-relational data sources, including ERP, CRM, legacy, and streaming/data lakes integrations.

The role requires on-site presence in Germany, with a hybrid working model and local travel as needed. The candidate should be comfortable collaborating with multiple stakeholders and leading by example to deliver high-quality, maintainable solutions while building client capability and trust.