Solution Architect (Advanced Analytics) | f/m/d

ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, is delivering integrated IT and business services to international markets. Our expertise lies in providing advanced IT services, with a focus on modern, business-driven technology solutions. On the business side, we also support the Group in various end-to-end insurance processes, including finance, operations, and underwriting. With offices in Warsaw and Gdansk, and strong global partnerships, we foster a dynamic, multicultural environment that promotes diversity and international opportunities.

• fluency in English
• University degree in Computer Science or a related field
• several years of experience in IT architecture with focus on data solutions and AI technologies
• proven experience with cloud platforms (Azure, AWS, Google Cloud) and familiarity with services like data lakes, cloud storage, containerization, and orchestration (Kubernetes)
• demonstrated track record of evaluating and integrating emerging technologies at early maturity stages
• strong experience in data architecture and data modeling across the full data lifecycle; familiarity with architecture frameworks (e.g., C4, arc42) and data lineage tooling
• experience with data governance practices, data quality management, and familiarity with data cataloging and metadata management tools
• deep understanding of cloud security principles, encryption, access control, and regulatory compliance requirements
• solid understanding of CI/CD and DevOps practices
• proficiency in Python/R, with experience in AI/ML libraries (e.g., Hugging Face, OpenAI, Langchain) and PowerBI
• familiarity with core LLM techniques like Retrieval-Augmented Generation (RAG), AI databases, etc.
• active engagement with the evolving AI/ML landscape, including awareness of developments beyond current production frameworks (e.g., agentic systems, advanced reasoning architectures, next-generation data processing paradigms)
• excellent stakeholder management and communication skills, with the ability to collaborate effectively with cross-functional teams
• adaptive mindset: proven ability to rapidly assimilate new technology paradigms, pivot architectural approaches when the landscape shifts, and make sound design decisions under technological uncertainty

Nice to have:

• German language skills are a strong advantage, but not required
• experience with serverless architectures is a plus

• designing, developing, and implementing scalable, secure cloud-based architectures for data solutions, ensuring high availability and performance (e.g., Azure, Databricks, Kubernetes)
• designing modular platform architectures that integrate both current and emerging technologies
• designing platform architectures with deliberate modularity and abstraction boundaries that accommodate the integration of technologies not yet available or only existing as research prototypes
• defining enterprise data models and end-to-end data architecture — from ingestion through transformation to consumption, ensuring consistency, lineage traceability, and fitness for analytics and AI workloads
• supporting the design and operationalization of data governance processes, including data quality frameworks, data cataloging, ownership models, and stewardship workflows, aligned with the overall data strategy
• implementing continuous integration and continuous deployment (CI/CD) pipelines for efficient and automated model deployment and updates
• maintaining comprehensive architecture documentation, including design patterns, best practices, and cloud service configurations
• ensuring platform architecture complies with industry standards and regulations and integrates best practices for data privacy and security
• continuously evaluating emerging technologies (including new AI/ML products, novel data processing paradigms, and next-generation cloud services) for their potential to enhance the analytics platform, and translating evaluations into actionable architectural recommendations
• working closely with development teams, business stakeholders, and other architects to ensure seamless integration of data, AI, and cloud services into the overall application landscape