Enterprise Data Architect

This range is provided by Intelix.AI. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

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Base c. £140-155 k + bonus and LTIP (flexible for the right hire)

35 days leave │ 14 % pension │ full family healthcare

Purpose

Establish and scale a single enterprise data backbone for a global retail-investing and pensions platform (~£400 bn AUA), enabling regulatory-grade lineage, real-time analytics, and API-driven product innovation.

You will be tasked with the front, middle and back-office solution, defining the interactions, integration and data model transformation.

Candidate with no Investment or Asset Management experience are not being considered for this role!

12-Month Success Metrics

• Publish an enterprise-wide canonical data model covering custody, wrappers, trading, and digital touchpoints.
• Stand-up policy-as-code controls delivering automated Consumer Duty & CASS MI.
• Migrate 60 % of legacy ETL into an event-stream / Snowflake lakehouse pattern, cutting report latency to < 60 sec.
• Embed data-product operating model across UK & India hubs; uplift data-literacy score by 25 %.
• Architecture & Design Authority: Define reference architectures, patterns, and guardrails for data ingestion, storage, lineage, and access.
• Governance & Quality: Chair Data Design Council; own enterprise glossary, DQ KPIs, and remediation backlog.
• RegTech Enablement: Automate regulatory reporting (MI-FID, PRIIPs, Consumer Duty) via policy-as-code pipelines.
• Platform Modernisation: Drive shift from batch ETL to event-driven streaming; partner with cloud-engineering on Snowflake, Kafka, K8s.
• Vendor & Tooling Strategy: Rationalise BI, MDM, and metadata tooling; negotiate enterprise licences.
• Leadership & Change: Build and mentor a 20-30 FTE cross-location data-architecture guild; embed OKRs and agile ways of working.
• 12 + yrs enterprise-data architecture in regulated financial-services (wealth / pensions a plus).
• Hands-on design of lakehouse or cloud-data-platform (Snowflake, BigQuery, Redshift).
• Proven lineage & quality frameworks (Collibra, Atlan, Informatica, or equivalent).
• Deep grasp of UK/EU retail-investor regs (CASS, Consumer Duty, PRIIPs, GDPR).
• Track record steering £20-100 m change budgets and influencing C-suite & boards.

Location & Ways of Working

London HQ | Hybrid 2-3 days on-site.

Seniority level

• Seniority levelDirector

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesFinancial Services and Technology, Information and Media

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