Senior Data & Analytics Architect

The client is a well-established insurance company in Poland with over 80 years of experience. It is a reliable and trusted insight partner for global companies and leading brands, operating in around 60 countries worldwide with a diverse community of approximately 9,000 employees. The client is undergoing a transformation from a traditional market research company to a provider of prescriptive data analytics powered by innovative technology. Jit Team employs over 770 experts and offers developmental projects, benefits, and professional development programs, prioritizing people and supporting charitable and educational activities in Poland.

• Proven experience defining architectural standards and mentoring HD/BI teams
• Strong experience designing hybrid architectures (on-premise + cloud)
• Solid understanding of data modeling and data flow design
• Experience defining and implementing SDLC processes for Data & Analytics solutions
• Experience automating HD/BI delivery and maintenance processes in line with DataOps practices
• Strong knowledge of CI/CD, GitOps, and Infrastructure as Code
• Good understanding of Data Governance, Data Quality, Metadata Management, and Data Lineage
• Practical knowledge of Oracle data platforms (experience with Oracle Exadata is a strong advantage)
• Knowledge of SAS 9.4 and/or SAS Viya considered an asset
• Knowledge of Databricks considered an asset
• Experience using AI-powered development tools such as GitHub Copilot
• Practical knowledge of UML and BPMN
• Experience designing solutions based on Microsoft Azure components

• Design and develop modern Data & Analytics architectures in collaboration with domain architects, business architects, and solution designers
• Define architectural standards, patterns, and best practices for HD/BI solutions
• Support integration of Databricks cloud platform with existing on-premise Oracle/SAS Data Warehouse environments
• Drive implementation of DataOps practices and SDLC standards across Data & Analytics initiatives
• Automate development and maintenance processes using CI/CD, GitOps, and Infrastructure as Code
• Provide internal technology consulting and architectural guidance
• Ensure consistency and synergy of delivered architectural solutions
• Mentor technical teams in architecture standards and best practices
• Support governance initiatives related to Data Quality, Metadata Management, and Data Lineage