Senior Data Architect (Azure) Insurance / ReInsurance Location: London Hybrid:3 Days a week Position Overview: As a Senior Data Architect, you will be responsible for designing, implementing, and optimising our data architecture / data lakehouse to support cloud-based ETL processes and digital transformation projects. Key Responsibilities: Design and develop scalable data architectures for cloud-based environments. Lead the implementation of ETL processes to ensure efficient data extraction, transformation, and loading. Collaborate with stakeholders to understand business requirements and translate them into technical solutions. Ensure data quality, integrity, and security across all data platforms. Optimize data storage and retrieval processes to enhance performance and scalability. Provide technical guidance and mentorship to junior data engineers and developers. Stay up-to-date with emerging technologies and industry trends to drive continuous improvement. Develop and maintain documentation for data architecture, processes, and best practices. Key Requirements: Experienced in Data Architecture, Data Modelling, and Data Management. Bachelor's or Master's degree in Computer Science, Information Technology, or a related field. Proven experience as a Data Architect, with a focus on cloud-based environments (primarily Azure), Azure Fabric, Data Factory, Data Lakes, Data Bricks, and ETL processes. Experience with database management systems (e.g., MS SQL, Cosmos DB, Mongo DB, PostgreSQL) along with strong DML and DQL experience. Strong knowledge and experience in Bulk and Event-Driven Data Analytics. Experience with Data Catalogue and Meta Data Governance tools like Collibra. Familiarity with data modelling, data governance, and data security best practices. Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment. Strong communication and interpersonal skills. Preferred Skills: Experience with big data technologies (e.g., Hadoop, Spark). Knowledge of machine learning and AI integration with data architectures. Certification in cloud platforms or data management.