.Empleo:IndefinidoID:41103Non-ExecutiveAre you passionate about the power of data to drive excellence?If you are a passionate Data Architect with a vision for the future, this is your opportunity. Join us and be the architect of innovation in our insurance company. We're looking for creative minds and exceptional technical skills to lead the data revolution that defines the future of financial protection. Turn your skills into impact and be part of a team transforming the way we understand and secure tomorrow!What are you going to do in Allianz?Design and implement data architecture solutions that align with business requirements and support data management and analytics objectives.Collaborate with stakeholders, including business users, data analysts, and IT teams, to understand data needs and develop data models and database designs.Ensure data accuracy, integrity, and security by establishing and enforcing data governance and quality standards.Develop data integration and ETL strategies to ensure seamless data flow across systems and platforms.Collaborate with the IT team to select and implement appropriate data management and analytics tools and technologies.Define and maintain data standards, best practices, and guidelines for data modeling, database design, and data integration.Conduct data profiling and analysis to identify data quality issues, inconsistencies, and opportunities for improvement.Stay updated on emerging trends and technologies in data architecture and recommend improvements and innovations to enhance the organization's data management capabilities.Provide technical guidance and support to development teams throughout the data lifecycle.What does Allianz need from you?Bachelor's degree in Computer Science, Information Systems, or a related field. Advanced degree or certifications in data architecture or related areas are a plus.Minimum of 5 years of experience in data architecture, database design, and data management, preferably in the insurance industry and 2 years as data architectStrong knowledge of data architecture principles, practices, and industry standards.Proficiency in data modeling techniques (Experience in Data Vault is a plus)Experience with database management systems, including relational databases (e.G., SQL Server, Oracle) and NoSQL databases (e.G., MongoDB, Cassandra).Experience with cloud-based data platforms and technologies (e.G., AWS, Azure) is a plus. Azure is highly desirableFamiliarity with data integration tools, ETL processes, and data warehousing concepts. Highly desirable experience in Azure Synapse AnalyticsKnowledge of data governance and data quality management principles.Strong analytical and problem- solving skills, with the ability to design and optimize complex data solutions.Excellent communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders
