Key Responsibilities:· Lead the design and implementation of scalable data architecture supporting analytics and digitalization agenda for MR Syndicate (MRSL) in a cross-functional team of architects from business and technology· Develop and maintain data models (Logical and Physical) to support business needs ensuring data integrity and efficiency.· Proven experience as a Data Architect with hands-on expertise in designing and deploying end-to-end enterprise-grade data solutions including pipelines, storage, compute, and integration components· Design and govern data architecture and integration standards across Azure Data Factory and Databricks to enable integrated analytics solution.· Define architecture standards, guidelines, and procedures.· Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise Information management· Support the design of Munich Re´s pillars for Data Governance, Metadata· Manage the Information Management framework, architecture, processes, and solutions· Be responsible for strategic roadmaps that describe the journey to target state for all Data & Analytics domains· Review third parties’ high-level designs and implementations to ensure quality, coherence and consistency with MR Specialty and Enterprise Data architecture· Deliver standards and patterns, controls on how Munich RE would like to deploy services in a standard and repeatable way· Optimize systems for performance cost and scalability.· Collaborate with IT teams and management to devise data-related strategies and ensure alignment with company goals.· Collaborate with business and technical stakeholders to translate requirements into scalable, secure, and compliant cloud solutions· Lead the data architecture and design efforts, ensuring comprehensive documentation and adherence to best practices.· Ensure data integrity, quality, and security in alignment with compliance requirements.Mandatory Skills:

• Strong knowledge of Data Architectures e.g., Data Lake, Medallion Architecture, Data Products, Data Mesh, Data Fabric, Data Warehouse• Experience with cloud-based data solutions using Azure Data Factory, Synapse, Databricks, Blob storage, ADLS Gen2, Azure SQL, Azure Functions, Power BI, Fabric, Logic Apps, Event Hubs, Python,• Proficient in data modelling, database design• Drive DevOps and CI/CD adoption for data pipeline automation and deployment• Strong knowledge of star schema, snowflake schema, relational and non-relational data structures, facts & dimensions, Logical Physical and Semantic modelling techniques• Strong knowledge of common data stores e.g., ODS, Data Warehouse, Data Lake, Data Mart, etc.• Metadata management, Data Masking, lineage, views, strong SQL querying skills, SCRUM Agile• Strong knowledge of SQL and NoSQL databases.• Experience with data integration, ETL processes, and data migration using Realtime, batch and micro-batch• Excellent problem-solving and analytical skills.• Effective communication and collaboration abilities.• Familiarity with data governance and data security practices and compliance in cloud environments· Provide technical leadership and mentorship to a team of Azure Data Engineers, ensuring delivery quality and adherence to best practices· 10+ years of experience in hands-on design, engineering, administration, and implementation of comprehensive systems and architectures in an insurance enterprise are preferred· Understanding of insurance domain concepts with hands-on experience in data modelling is required· Experience with Azure Data Factory and Databricks including orchestrating and designing data pipelines for secure data solutions are preferred· Industry certifications in Azure, Databricks or data architecture is advantageous· Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps)· Ability to estimate the financial impact of technology alternatives in terms of benefit and cost· Ability to quickly comprehend the functions and capabilities of existing, new and emerging technologies that enable and drive new business designs and models· Excellent collaboration and communications skills to deal with senior leaders, stakeholders and executives and to build and nurture business relationships· Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative ideas· Strong leadership and team management skills.Nice to Have Skills:· Azure or Databricks certification. CDMP, TOGAF· Experience in Agile/Scrum environments.· Understanding of regulatory frameworks like GDPR, HIPAA.· Detail-oriented and highly organized.· Ability to work independently and as part of a team· Excellent communication and stakeholder management skills