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Ampstek

Data Architect

London
Posted about 14 hours ago
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Job Description – Data Architect (London, UK)

Location: London, UK (Hybrid–10 days/month onsite)
Contract Duration: 6 Months

Role Overview

We are looking for an experienced Data Architect to support a strategic transformation programme focused on modernising underwriting and platform capabilities within the insurance domain. The role is highly hands-on, with a strong focus on conceptual and logical data modelling, aligning enterprise data architecture, and ensuring consistency across multiple delivery workstreams.

Key Responsibilities

  • Design and maintain conceptual and logical data models.
  • Align data architecture with London Market data standards.
  • Collaborate with Data Architects, Solution Architects, Data Engineers, and business stakeholders.
  • Ensure consistent implementation of data models across platforms.
  • Support enterprise data governance, metadata management, and data lineage.
  • Identify and resolve data quality, integration, and consistency issues.
  • Work closely with the CDO to ensure governance standards are followed.
  • Support future PAS alignment and scalable platform design.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Required Skills

  • Strong experience as a Data Architect in enterprise transformation programmes.
  • Expertise in conceptual and logical data modelling.
  • Insurance domain experience, particularly underwriting and policy lifecycle.
  • Knowledge of London Market data models and standards.
  • Experience with Snowflake, ETL/ELT processes, and Power BI.
  • Strong understanding of data integration, pipelines, and analytics.
  • Excellent stakeholder management and collaboration skills.

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Preferred Skills

  • Experience with Collibra or similar data governance tools.
  • Knowledge of Astronomer or Apache Airflow.
  • Understanding of metadata management, data lineage, and enterprise data architecture.
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Skills

Data Architecture
Data Modelling
Insurance Domain
Underwriting
Policy Lifecycle
London Market Data Standards
Snowflake
ETL
ELT
Power BI
Data Integration
Data Pipelines
Analytics
Stakeholder Management
Collaboration
Data Governance

Location

London, England, United Kingdom

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