Jobs / United Kingdom / Experian Health INC

Experian Health INC

Principal Data Architect

London, GB Posted today

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Skills this job asks for

Product managementLeadershipSnowflakeAWSdbtMachine learningStakeholder management

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Sponsorship verdict

No sponsorship evidence yet

No government record and no wording either way. Not a refusal: ask the recruiter.

  • No government sponsor record hereNo government sponsor record covers this employer in this country.
  • The posting doesn’t mention sponsorshipSilence isn’t a refusal — ask the recruiter before investing much time.
  • Can’t check pay against the visa rulesNo salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400).
  • Confirmed live todayWhen a source last listed this job as open.
Details and sources
Can’t check pay against the visa rules
No salary stated. UK Skilled Worker visa needs at least £41,700 a year (new-entrant (under 26, recent Student/Graduate visa) or STEM PhD: £33,400). Source: https://www.gov.uk/skilled-worker-visa/when-you-can-be-paid-less, rules effective 2025-07-22.

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Before you apply

Sponsorship unknown

No register record and no sponsorship wording in the posting. Worth asking the employer before investing significant time.

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About the role

We are seeking a Principal Data Architect to serve as the leading technical authority for data architecture across our UK Consumer business. This is a senior individual contributor role for a highly experienced architect who combines deep technical expertise with strong ownership, commercial pragmatism and the ability to influence across multiple teams. This is a hands-on architecture role being actively engaged from strategy and design through implementation, adoption and optimisation, helping teams make confident decisions and deliver against a shared architectural vision. You will define the strategic direction for our data ecosystem, shaping the target-state architecture while creating a practical roadmap from today's environment. Working across cloud platforms, data products, analytics, AI and operational systems, you will ensure our architecture enables innovation, scalability, governance and business value.   Key Responsibilities • Own the current-state, target-state and transition architecture for the enterprise data ecosystem. • Define end-to-end architecture across data ingestion, transformation, storage, activation, analytics, AI and data products. • Translate business and product objectives into scalable, secure and maintainable architectural solutions. • Establish architecture principles, standards, reference patterns and governance frameworks that enable engineering teams to deliver efficiently. • Lead data modelling, data governance and standards for quality, lineage, metadata, ownership and lifecycle management. • Provide technical leadership across cloud data platforms and technologies including Snowflake, AWS and associated integration and orchestration tooling. • Define and evolve patterns for batch, real-time, event-driven and API-based data architectures. • Lead complex transformation initiatives including cloud migrations, platform modernisation, data product adoption and legacy decommissioning. • Ensure architecture decisions balance scalability, resilience, security, observability, performance and cost efficiency. • Influence and mentor engineers, architects and technical leaders while building strong alignment across UK and international teams.   • Significant experience in Data Architecture, Data Engineering or Data Platform Architecture within large, complex organisations. • Proven success operating at Principal, Lead Architect or equivalent senior architecture level across multiple domains and teams. • Deep expertise in modern cloud data platforms, particularly AWS, Snowflake or comparable technologies. • Strong experience designing large-scale batch, streaming, event-driven and API-based data architectures. • Advanced knowledge of conceptual, logical and physical data modelling and enterprise data design. • Hands-on experience with modern data tooling such as dbt, Snowplow, Fivetran, orchestration platforms or equivalent technologies. • Experience building and governing data products, self-service platforms and domain-oriented data architectures, with a strong understanding of Data Mesh and federated governance principles. • Proven experience delivering large-scale data transformations, including cloud migrations, platform modernisation, legacy system retirement and operating model change. • Strong understanding of data security, privacy, governance, data quality, metadata, lineage, observability and data protection by design. • Knowledge of the data foundations required for advanced analytics, personalisation, machine learning and Generative AI, combined with excellent stakeholder management, communication and influencing skills. Preferred Experience • Telecommunications, digital products, e-commerce or large-scale consumer-facing environments. Benefits package includes: • Hyb

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