Data Architect

Walderslade
2 weeks ago
Create job alert

Data Architect

Our client, a leading financial services corporation, is hiring a Data Architect to drive & design our client's data strategy as they move from on-prem to Azure cloud services. You will be part of a team designing and managing data systems primarily in Azure, ensuring alignment with business goals and requirements. To be successful, you must have strong expertise in Azure-based data solutions working within a regulated environment. Our client is paying a basic salary of £83,000 + 15% bonus to be based in Chatham or Wolverhampton on a hybrid basis.

You will possess experience designing and implementing large-scale data warehousing/data modeling projects as our client rebuilds the IT ecosystem to ensure Data is at the heart of everything they do - a first in our clients history!

Core responsibilities:

Architect and design end-to-end data solutions on-premises and in Azure, ensuring alignment with business goals and requirements.
Provide data architecture support and guidance for new software / solutions
Create robust and scalable data models that meet business needs while following industry best practices.
Work with business analysts, data engineers, and other stakeholders to understand data requirements.
Integrate various data sources (on-premises, cloud-based, and third-party) into the Azure environment.
Utilise Azure services like Azure Data Lake, Azure SQL Database, Azure Synapse Analytics, and Azure Databricks for data storage, transformation, and analysis. 
Core skills and experience:

Previous experience acting as a Data Architect building major data changes within a regulated environment (ideally financial services) is a must-have
Specialist knowledge of SQL Server (2008 to 2019) is a must as our client’s transition to Azure.
Expert-level knowledge in MDM is essential
Strong capabilites in Data modeling are essential.
Experience in Data Cleansing and Data Masking on Azure Cloud is desirable.
Understanding TOGAF with a certification is nice to have

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect - Security Cleared

Get the latest insights and jobs direct. Sign up for our newsletter.

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

Industry Insights

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

Negotiating Your Data Engineering Job Offer: Equity, Bonuses & Perks Explained

How to Secure a Compensation Package That Reflects Your Value in the UK’s Fast-Growing Data Ecosystem Introduction Data engineering has quickly become the backbone of modern business operations. Whether powering analytics platforms, migrating data to the cloud, or building pipelines for machine learning, data engineers enable organisations to extract meaningful insights from vast datasets. With companies across every sector looking to harness data for competitive advantage, mid‑senior data engineers are in especially high demand—and that spells opportunity for you to negotiate a compelling compensation package. Yet for many professionals, negotiations around a job offer still focus primarily on salary, leading them to overlook valuable components such as equity, performance bonuses, and perks that can collectively add significant value to your overall deal. In the world of data engineering, it’s not uncommon to see advanced compensation packages involving shares, annual or quarterly bonuses, and a range of benefits that support both your technical growth and work-life balance. This guide aims to be your comprehensive manual for negotiating a data engineering job offer in the UK. We’ll cover why negotiation isn’t just about your monthly paycheck, explore how equity works in data-centric organisations, break down different bonus structures, and highlight perks that matter most for mid‑senior professionals. By the end, you’ll have the knowledge—and the confidence—to land a package that fully reflects your critical role in unlocking the power of data.

Data Engineering Jobs in the UK Public Sector: Opportunities with GDS, NHS, MOD, and Beyond

Data has become one of the most valuable assets in today’s digital age, enabling organisations to make data-driven decisions, optimise processes, and deliver improved services. Nowhere is the potential impact of robust data engineering practices more significant than in the UK public sector. From the National Health Service (NHS) to the Government Digital Service (GDS) and the Ministry of Defence (MOD), large volumes of data are continually generated and processed, creating a rising demand for data engineering jobs. In this blog post, we’ll explore why data engineering is so essential for public sector bodies, the range of roles available, the skills and qualifications needed to excel, and how you can secure a highly rewarding career in this domain. Whether you’re a seasoned data professional or just starting out in tech, read on to discover how to make a meaningful impact through data engineering jobs in the UK’s public sector.

Contract vs Permanent Data Engineering Jobs: Which Pays Better in 2025?

Data engineering sits at the heart of modern data-driven organisations. As businesses scramble to harness the power of data—whether for advanced analytics, real-time decision-making, or next-generation AI applications—data engineers have become indispensable. By 2025, the UK data engineering landscape will be bustling with opportunities, from small tech start-ups pushing the boundaries of streaming analytics, to large enterprises migrating massive on-premise data warehouses to the cloud. With this burgeoning demand come lucrative compensation packages. However, data engineering professionals can choose among several distinct types of employment. Day‑rate contracting, fixed-term contract (FTC) roles, and permanent positions each have their own advantages and drawbacks. If you are curious about which path might pay better in 2025—and which aligns best with your career ambitions—this guide is for you. Here, we will: Explore the UK data engineering job market in 2025. Compare contract vs. FTC vs. permanent roles, with pros and cons. Provide sample take‑home pay scenarios to help you visualise real earning outcomes. Discuss other critical factors like job security, development, and work–life balance. By the end, you will have a clearer sense of the financial and professional trade-offs involved, and be more prepared to chart the next phase of your data engineering career.