Senior Data Architect

LV=
Bournemouth
1 month ago
Create job alert
About The Role

We have a new opportunity for a technical Senior Data Architect to join our Data team. You will play a critical role in shaping and influencing the modernisation of LV=’s data landscape on Microsoft Fabric.


An opportunity to design and build a governed, cloud-native data platform within a well-known UK financial services brand, shaping the future of data across Finance, Actuarial, Digital and Operations.


The role is offered on a fixed-term basis of 12 months and will be based out of our Bournemouth office with presence required once a month.


Key Responsibilities

  • Design enterprise/domain-level data models and information architecture as a Fabric Data Platform SME.
  • Collaborate with business domains to map business concepts to data models and solutions.
  • Provide data architecture assurance at programme or project level.
  • Ensure data is consistent, reusable, high-quality, and governed.
  • Architect master/reference data strategies and oversee metadata management in collaboration with the Data Governance Lead.
  • Support data solution design for change projects, contributing to project planning, impact assessments, and estimates.
  • Create logical and physical data models, APIs, and integration patterns.
  • Ensure adherence to data standards, design principles, and best practices.
  • Maintain technical debt register if identified and drive resolution to agreed standards.
  • Provide governance oversight across the projects involving data.
  • Collaborate with DG Lead supporting projects on data governance, lineage, and stewardship within Fabric.
  • Ensure adherence to enterprise data architecture principles, data standards, and governance frameworks, maintaining alignment with all regulatory, privacy, and compliance requirements.
  • Drive architectural reviews and present solutions to Data Design Authority and other Governance Boards for approval.
  • Ensure adherence with Information Security design patterns and principles.

About You

  • Extensive experience in architecting and designing end‑to‑end data solutions on cloud platforms, Azure / Fabric is preferred.
  • Strong understanding of Azure Cloud Services. Strong experience with Azure Data Lake, Azure SQL and Azure Storage.
  • Strong understanding of Microsoft Fabric, Fabric Data lakes, Fabric data warehouse and other Fabric services.
  • Knowledge of Power BI and Purview technologies and architecture or familiar with implementing and deploying similar.
  • Understanding and appreciation of information and data governance.
  • Significant experience working as a data architect in small‑medium organisations designing & delivering complex data architectures and models.
  • Clear understanding of information and data, data integration, business intelligence, analytics, and big data software and systems and of relevant industry trends.
  • Experience and knowledge of data modeling tools and their use in the creation of usable, deployable data models.

Desirable

  • Previous experience of working in the insurance/financial services sector.

Rewards and Benefits

This role is a Band C in the LV= Structure.


At LV= Savings and Retirement, you’ll go above and beyond to do the right thing for our customers. We’ll reward your hard work with an attractive, competitive salary and benefits package, which includes:



  • 30 days' holiday, with the option to buy up to 5 additional days
  • Competitive pension scheme – LV= Life and Pensions will double‑match the amount you pay, up to 14% (subject to National Minimum Wage requirements)
  • An annual bonus scheme based on personal performance
  • Single‑cover private medical insurance (with the option for you to upgrade to family cover)
  • Flexible benefits, including a cycle‑to‑work scheme, personal accident insurance, critical illness cover and dental insurance
  • Up to 20% discount on our life products for you and your immediate family
  • A group life assurance policy with 4x your basic pay to go to your dependents (you’ll have the option to increase to 8x cover)
  • Group Income Protection (if you become a member of the Pension scheme and reach 5 years of service)
  • Access to our Employee Assistance Programme (EAP) for support when you need it
  • A virtual GP service
  • Shared parental leave

Up to 20% discount on our life products for you and your immediate family


Please note all salary sacrifice benefits are subject to National Minimum Wage requirements i.e. you are unable to select any benefits that would reduce your base pay below the minimum wage threshold.


Please note that we are unable to offer Skilled Worker Visa Sponsorship for this role. Therefore, you must ensure that you are eligible to work in the UK without our sponsorship for your application to be considered.


About Us

We’re proud of our inclusive culture at LV= and, as an equal‑opportunity employer, we continually work to remove unconscious bias from our recruitment process. We value our colleagues for what they bring to our team regardless of any protected status or characteristics they may have. Talk to us about flexible working as part of your application; if it’s right for you, our members and customers, and our business, then we’ll do everything we can to make it happen.


#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Architect

Senior Data Architect - Data Platform - SC

Senior Data Architect - Data Platform - SC

Senior Data Architect

Senior Data Architect

Senior Data Architect

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.

What Hiring Managers Look for First in Data Science Job Applications (UK Guide)

If you’re applying for data science roles in the UK, it’s crucial to understand what hiring managers focus on before they dive into your full CV. In competitive markets, recruiters and hiring managers often make their first decisions in the first 10–20 seconds of scanning an application — and in data science, there are specific signals they look for first. Data science isn’t just about coding or statistics — it’s about producing insights, shipping models, collaborating with teams, and solving real business problems. This guide helps you understand exactly what hiring managers look for first in data science applications — and how to structure your CV, portfolio and cover letter so you leap to the top of the shortlist.