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Data Architect

Posted 21 days ago

  • London, Greater London
  • Any
  • External
  • Expires In 2 months
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 AccountabilitiesData Strategy and architectureDevelop 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 InitiativesCollaborate 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 AnalysisDesign 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 PrivacyImplement 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 ExperienceProven experience as a Data Architect with a focus on AIStrong proficiency in data modelling, database design, and data warehousing.Familiarity with cloud platforms (preferably Azure).Knowledge of data analytical programming languages e.g. Python, RKnowledge 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 BenefitsA Competitive Salary, Pension Scheme and Life AssuranceAlong with 25 Days Annual Leave plus an Additional Day on us for your BirthdayPrivate Medical Cover and Income Protection, just in caseA generous and highly achievable bonus scheme – paid annually based on individual and company performance against targetsOpportunity to progress within your career both in-role and within the companyFREE 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 PortalPlus, several additional purchase options available for you and your loved ones
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