Data Architect

As a Data Architect, you will play a critical role in designing, developing, and maintaining our data architecture, with a focus on supporting our AI-driven initiatives.This position requires a deep understanding of data management principles, database technologies, and a strategic mindset to align data initiatives with overall business goals. The Data Architect will collaborate with cross-functional teams, including architects, data engineers, analysts, and business stakeholders, to ensure that data solutions meet our requirements for scalability, security, and performance. Job Role Accountabilities Data Strategy and architecture Develop and implement a comprehensive data strategy. Design and implement scalable and efficient data models, databases, and data integration solutions. Collaborate with solution architects to integrate data architecture with overall system architecture. AI Initiatives Collaborate with AI Architect to develop AI initiatives. Identify and evaluate data sources, both internal and external, to support AI initiatives. Collaborate with data scientists, machine learning engineers, and other stakeholders to integrate AI models into the overall data architecture. Ensure seamless communication between AI components and existing systems. Data Modelling and Analysis Design and maintain robust data models that facilitate efficient storage, retrieval, and analysis of structured and unstructured data. Implement data modelling best practices to support AI algorithm development and training. Stay on top of emerging technologies and industry trends in AI, data management, and analytics. Data Security and Privacy Implement and enforce data security measures to protect sensitive information. Ensure compliance with data privacy regulations and work to mitigate risks related to data breaches. Qualification, Skills and Experience Proven experience as a Data Architect with a focus on AI Strong proficiency in data modelling, database design, and data warehousing. Familiarity with cloud platforms (preferably Azure). Knowledge of data analytical programming languages e.g. Python, R Knowledge of data governance, privacy, and security best practices. Experience with AI frameworks and tools would be beneficial. Financial services (e.g. pension, insurance) background would be beneficial. Company Benefits A Competitive Salary, Pension Scheme and Life Assurance Along with 25 Days Annual Leave plus an Additional Day on us for your Birthday Private Medical Cover and Income Protection, just in case A generous and highly achievable bonus scheme paid annually based on individual and company performance against targets Opportunity to progress within your career both in-role and within the company FREE access to the Headspace App, a 24/7 Employee Assistance Helpline and Trained Physical & Mental Health First Aiders (On-Site) A variety of Employee Funded Benefits available to you via our Online Benefits Portal Plus, several additional purchase options available for you and your loved ones #J-18808-Ljbffr