{"id":1463639,"url":"https://alion.io/job/canopius-data-architect","title":"Data Architect","company":{"id":1913711,"name":"Canopius","domain":"canopius.com","url":"https://alion.io/company/canopius","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"B","score":75,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-01T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":"staff","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Manchester, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":91000,"max_usd":177000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Erwin","optional":false},{"name":"Rest API","optional":false},{"name":"SQL","optional":false},{"name":"UML","optional":false}],"status":"live","first_seen_at":"2026-09-08T07:10:48Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-10-01T13:35:55Z","board_verified":true,"closed_at":null,"days_open":23,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":23},"description":"The Role:\nAt Canopius, our delivery teams are responsible for ensuring that business users can effectively harness data insights to drive strategic decision making. Our data strategy is centred around an enterprise Lakehouse platform on Databricks, avoiding fragmented, ungoverned silos on legacy technologies that hamper creativity and scalability.\nThe Data Architect owns the end-to-end design and evolution of our enterprise data architecture, defining how data is stored, integrated, secured and managed across solutions. The ideal candidate will be an experienced data architect who is excited by the opportunity to shape enterprise data standards, drive data re-use and interoperability across the organisation, and leverage modern technologies to simplify the data estate and unlock greater value from data.\nYou should be able to understand business problems and translate them 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. You should be comfortable collaborating in project teams and cross-departmental squads including business analysts, data analysts, developers and solution architects to deliver business solutions. The role also owns the end-to-end data architecture of our enterprise Lakehouse platform on Databricks, including data modelling, storage patterns, integration approaches, data sharing patterns and governance guardrails. In addition, the role is responsible for shaping the future-state data architecture, supporting transition roadmaps, and driving simplification through the rationalisation of legacy data assets and technical debt.\nThe candidate should be a practical, delivery-focused architect with strong interpersonal skills and a proven track record of producing data architecture artefacts, shaping solution designs and working closely with delivery teams to implement robust data solutions.\nThis is a hybrid role working 2-3 days a week in our Manchester office.\nResponsibilities will include:\nDefine conceptual, logical and physical data models, information models and associated data dictionaries to meet enterprise and delivery-specific requirements.\n\nOwn 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.\n\nDefine and evolve the future-state data architecture and associated transition roadmaps, identifying opportunities to simplify the landscape through rationalisation of legacy data assets, duplicated capabilities and technical debt.\n\nDefine data architecture principles, guardrails, standards and reusable patterns, ensuring alignment to enterprise naming conventions, canonical business definitions and domain boundaries.\n\nDefine and evolve insurance data models and standards across underwriting, policy, claims, finance, actuarial and regulatory use cases.\n\nDefine security, privacy and regulatory requirements for data architecture, including data classification, access control, retention, lineage, metadata and information quality controls.\n\nCollaborate with business stakeholders, delivery teams and solution architects to capture data requirements, shape solution options and communicate risks, issues and trade-offs.\n\nPartner closely with data engineers and solution teams to ensure architecture designs can be implemented scaled and aligned to modern engineering patterns and best practices.\n\nDefine data integration solutions and source to target mappings between business applications as well as between applications and the data platform, to ensure that data is synchronised promptly as required and remains in line with relevant data models and data quality controls.\n\nProduce and maintain the reference data catalogue, ensuring that reference data is understood, fit for purpose, aligned with enterprise standards and appropriately versioned and maintained.\n\nReview and contribute to solution design artefacts in collaboration with Data Governance and Compliance to ensure that data quality, governance, security and privacy requirements are addressed appropriately, and contribute to architecture decision forums and governance processes for design assurance and sign-off.\n\nSpecify key data fields, data capture rules, validation rules and reference data requirements required to support critical business processes and data solutions.\n\nOwn integration and data sharing standards, including interface specifications such as JSON and REST APIs, ensuring that structures support interoperability, decoupling and future-proofing.\n\nRepresent information in forms appropriate to the solution context, including UML-friendly models, JSON structures and relational models, and evolve ways of working to improve maintainability and re-use.\n\nDesign for performance, scalability, resilience and cost efficiency across the data platform and associated data services.\n\nMentor delivery team members on best practices in data architecture and support requirement gathering across data flows, transformations, validation rules and non-functional requirements.\n\nFurther Relevant Skills and Experience\nProven track record of delivering data architecture artefacts for a variety of solutions.\n\nExperience of creating information models for analytical and operational use cases.\n\nProficient in modelling and architecture tools such as Erwin and SparxEA, with the ability to apply sound architecture principles and modelling practices regardless of tooling.\n\nStrong knowledge of SQL, relational modelling and JSON.\n\nStrong experience designing data architectures for modern cloud data platforms, including Databricks and Azure.\n\nExperience defining architecture principles, reusable patterns and guardrails rather than relying solely on tool-specific approaches.\n\nPrior experience of data model and data management design within delivery projects for underwriting, policy administration or claims applications.\n\nExperience defining metadata, lineage and data quality monitoring requirements within enterprise data platforms.\n\nUnderstanding of data security, privacy, access control and regulatory considerations relevant to enterprise and insurance data.\n\nExperience designing for performance, scalability, resilience and cost efficiency across data platforms and data services.\n\nProven experience of stakeholder management skills at all levels, with the ability to influence senior business and technology stakeholders.\n\nGood communication and presentation skills; able to convey ideas, information and concepts effectively with business stakeholders and team members.\n\nMust be able to work independently on certain tasks, as well as in team environments.\n\nExperience working in cross-functional teams and mentoring project team members.\n\nUnderstanding of London or Lloyd’s Market insurance conceptual data models and associated business data standards would be beneficial.\n\nExperience using enterprise architecture tooling such as BizzdesignHorizzonwould be beneficial.","description_format":"text","description_chars":7106,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Financial Services","Property & Casualty Insurance","Reinsurance"],"lifecycle":[{"event":"open","at":"2026-09-29T13:45:21Z"}],"liveness":{"score":81,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":0.9,"age_days":22,"expected_fill_days":53,"reasons":["conf:2","velocity","win:mid"],"computed_at":"2026-10-01T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/canopius-data-architect","json_url":"https://alion.io/job/canopius-data-architect.json","meta":{"generated_at":"2026-10-02T02:15:24Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":2917,"day_limit":5000,"remaining_today":2083,"minute_limit":60,"resets_at":"2026-10-03T00:00:00Z"}}}