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

ERGO Technology & Services S.A. (ET&S), a member of the Munich Re and ERGO Group, delivers integrated IT and business services to international markets. The company focuses on advanced IT services and modern, business-driven technology solutions, supporting various end-to-end insurance processes including finance, operations, and underwriting. ET&S operates offices in Warsaw and Gdansk and fosters a dynamic, multicultural environment with strong global partnerships.

• Fluency in English
• University degree in Computer Science or related field
• Several years of experience in IT architecture focusing on data solutions and AI technologies
• Proven experience with cloud platforms (Azure, AWS, Google Cloud) and familiarity with 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 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 and 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) and AI databases
• Active engagement with evolving AI/ML landscape including developments beyond current production frameworks (e.g., agentic systems, advanced reasoning architectures, next-generation data processing paradigms)
• Excellent stakeholder management and communication skills for effective collaboration with cross-functional teams
• Adaptive mindset with proven ability to rapidly assimilate new technology paradigms, pivot architectural approaches under technological uncertainty, and make sound design decisions

Optional:

• 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 modularity and abstraction boundaries to accommodate integration of emerging or research-stage technologies
• 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 design and operationalization of data governance processes including data quality frameworks, data cataloging, ownership models, and stewardship workflows aligned with 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 compliance with industry standards, regulations, and 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, translating evaluations into architectural recommendations
• Collaborating closely with development teams, business stakeholders, and other architects to ensure seamless integration of data, AI, and cloud services into the overall application landscape