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Enterprise Data Architect

Intelix.AI

London

Hybrid

GBP 140,000 - 155,000

Full time

3 days ago
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Job summary

Intelix.AI is seeking a Data Architect to lead the creation and scaling of a comprehensive enterprise data backbone for a major retail-investing platform. The ideal candidate will have over a decade of experience in data architecture within regulated financial services, demonstrating the ability to manage teams and drive policy-based solutions while ensuring compliance with industry regulations.

Benefits

35 days leave
14% pension
Full family healthcare

Qualifications

  • Experience with enterprise data architecture for financial services.
  • Hands-on design of cloud data platforms such as Snowflake is crucial.
  • Proven record in managing change budgets and influencing executives.

Responsibilities

  • Establish and scale a global enterprise data backbone.
  • Define interaction, integration, and data model transformation.
  • Chair Data Design Council and manage data governance frameworks.

Skills

Data Architecture
Cloud Data Platforms
Data Governance
Regulatory Compliance

Education

12+ years enterprise-data architecture in regulated financial services

Tools

Snowflake
Kafka
Collibra

Job description

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

Direct message the job poster from Intelix.AI

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 level
    Director
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    Financial Services and Technology, Information and Media

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