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About the Role

The Data Architect owns the end-to-end design and evolution of the enterprise data architecture, defining how data is stored, integrated, secured, and managed across solutions. This role is crucial for shaping enterprise data standards, driving data re-use, and leveraging modern technologies to simplify the data estate and unlock greater value from data. The ideal candidate will translate business problems into robust, efficient, and well-governed data designs, including conceptual, logical, and physical data models, while owning and maintaining data modelling standards and architecture principles.

Responsibilities

• Define conceptual, logical, and physical data models, information models, and associated data dictionaries.
• Own the end-to-end architecture of the enterprise Lakehouse platform on Databricks, including data modelling, storage layers, processing patterns, integration approaches, and data sharing standards.
• Define and evolve the future-state data architecture and associated transition roadmaps, identifying opportunities to simplify the landscape.
• Define data architecture principles, guardrails, standards, and reusable patterns.
• Define and evolve insurance data models and standards across underwriting, policy, claims, finance, actuarial, and regulatory use cases.
• Define security, privacy, and regulatory requirements for data architecture, including data classification, access control, retention, lineage, metadata, and information quality controls.
• Collaborate with business stakeholders, delivery teams, and solution architects to capture data requirements and shape solution options.
• Partner closely with data engineers and solution teams to ensure architecture designs are implementable, scalable, and aligned with modern engineering patterns.
• Define data integration solutions and source-to-target mappings between business applications and the data platform.
• Produce and maintain the reference data catalogue.
• Review and contribute to solution design artefacts to ensure data quality, governance, security, and privacy requirements are addressed.
• Specify key data fields, data capture rules, validation rules, and reference data requirements.
• Own integration and data sharing standards, including interface specifications such as JSON and REST APIs.
• Represent information in forms appropriate to the solution context, including UML-friendly models, JSON structures, and relational models.
• Design for performance, scalability, resilience, and cost efficiency across the data platform and associated data services.
• Mentor delivery team members on best practices in data architecture and support requirement gathering.

Requirements

• Proven track record of delivering data architecture artefacts for a variety of solutions.
• Experience creating information models for analytical and operational use cases.
• Proficient in modelling and architecture tools such as Erwin and Sparx EA.
• Strong knowledge of SQL, relational modelling, and JSON.
• Strong experience designing data architectures for modern cloud data platforms, including Databricks and Azure.
• Experience defining architecture principles, reusable patterns, and guardrails.
• Prior experience of data model and data management design within delivery projects for underwriting, policy administration, or claims applications.
• Experience defining metadata, lineage, and data quality monitoring requirements within enterprise data platforms.
• Understanding of data security, privacy, access control, and regulatory considerations relevant to enterprise and insurance data.
• Experience designing for performance, scalability, resilience, and cost efficiency across data platforms and data services.
• Proven experience of stakeholder management skills at all levels.
• Ability to influence senior business and technology stakeholders.
• Good communication and presentation skills.
• Able to convey ideas, information, and concepts effectively with business stakeholders and team members.
• Must be able to work independently on certain tasks, as well as in team environments.
• Experience working in cross-functional teams and mentoring project team members.
• Understanding of London or Lloyd’s Market insurance conceptual data models and associated business data standards would be beneficial.
• Experience using enterprise architecture tooling such as Bizzdesign Horizzon would be beneficial.

Skills

• Data Architecture
• Databricks
• Azure
• SQL
• Relational Modelling
• JSON
• Erwin
• Sparx EA
• Data Modelling
• Information Modelling
• Data Dictionaries
• Storage Layers
• Processing Patterns
• Integration Approaches
• Data Sharing Standards
• Security
• Privacy
• Regulatory Compliance
• Data Classification
• Access Control
• Data Retention
• Data Lineage
• Metadata Management
• Data Quality
• Stakeholder Management
• Communication
• Presentation Skills
• Teamwork
• Mentoring
• REST APIs

Location

• City of London

Work Type

• Hybrid Working

Experience Level

• Experienced

Benefits

• Hybrid working
• Competitive base salary
• Non-contributory pension
• Discretionary bonus
• Health insurance (family)
• Dental cover

About the Company

• Canopius is a global specialty lines (re)insurer and a leading insurer in the Lloyd’s of London insurance market with offices in the UK, US, Singapore, Australia, and Bermuda.
• Canopius fosters a distinctive, positive culture that enables employees to bring their whole selves to work and flourish.
• The company operates from new offices in the heart of the City of London.
• Canopius is committed to providing an environment that challenges employees to be their best and where everyone's unique contributions are recognised, valued, and respected.

Equal Opportunity

• Fully committed to equal employment opportunities for all applicants.
• Providing employees with a work environment free of discrimination and harassment.
• All employment decisions are made regardless of age, sex, gender identity, ethnicity, disability, sexual orientation, socio-economic background, religion or beliefs, marital or caring status, or any other status protected by the laws or regulations in the locations where we operate.
• Encourage and welcome applicants from all diverse backgrounds.
• Make reasonable adjustments throughout the recruitment process and during employment.
• Offer information in alternate formats or any other reasonable adjustments upon request.