Data Architect – Insurance

Sedona Digital

Data Architect helping to deliver Insurance technology transformations. Engaging with clients and leading data architecture projects in the UK Insurance sector.

Posted 7/8/2026part-timeLondon • 🇬🇧 United KingdomSeniorLeadWebsite

Tech Stack

Tools & technologies

AzureETLPythonSQL

About the role

Key responsibilities & impact

Help our sales and presales solutions team to win new contracts by engaging with Insurance technology owners, data and AI lead to map business value delivery into data framework solutions.
Define transformative data architecture engineering solutions, from project scope to backlog with our techs, PMs and POs.
Lead customer project delivery as a data architecture, AI enablement or data engineering lead on Insurance tech solution transformations.
Co-own the internal and customer-facing data framework and capabilities catalogue (and value delivery tracking) as part of our AI roadmap team, and Insurance solutions portfolio.
Lead data and AI metadata project discoveries with enterprise clients in UK Insurance and Banking.
Define data architecture and engineering patterns.
Design proportionate data and AI governance.
Assess data asset viability and RAG patterns.
Collaborate with business and tech SMEs and POs.
Support engineering teams to build data capabilities.
Design production readiness and governance.
Assist in change management and adoption activities.

Requirements

What you’ll need

10 years working as a senior data architect, consultant or engineer in regulated enterprise data environments.
2 years working within UK insurance sector data projects (underwriting, claims, policy, actuarial, delegations, bordereau, Lloyds syndication etc).
2 years working with MS Azure data technologies (Databricks on Azure, Synapse, Purview, SQL, ADF, Fabric, Python etc).
6 months working with AI to augment or automate business process (RAG, classification, API and Prompt management, Observability & Audit for FCA/PRA etc)
6 months working with sales and commercial teams, pre-contract to close new business.
Demonstrable, proven ability to elicit, analyze, and document requirements and processes.
Demonstrable, proven ability with applied data techniques including identification, pipelining/ETL, curation, chunking, modelling, data quality, cataloguing, lineage, package deployment.
Hands-on experience with Agile methodologies and active participation in Agile ceremonies (e.g., sprint planning, retrospectives, backlog grooming).
Exceptional communication and stakeholder management skills with gravitas to lead workstreams and engage with C-suite.
Self-motivated with the ability to work independently and lead BA/PO activities within a multidisciplinary team.
Strong problem-solving skills and attention to detail.
Comfortable working in a fast-paced, changing environment.

Benefits

Comp & perks

Private medical insurance
Training on market trends and client needs, solutions & technologies including Microsoft Certs
21 days annual leave, with one day per year extra up to 25 days
1 day for your Birthday off
0.5 days Christmas Shopping off
Competitive package

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Hard Skills & Tools

Data TechniquesETLData QualityData ModellingData GovernanceData CataloguingData LineagePythonSQLDatabricks

Soft Skills

Exceptional CommunicationProblem-SolvingAttention to DetailSelf-MotivatedLeadership