Head of Data Architecture

CV-Library
Chatham, Kent
12 months ago
Applications closed

Related Jobs

View all jobs

Data Lead (Fabric)

Hays Technology London, United Kingdom
£450 – £500 pd

Senor / Lead Data Engineer

Michael Page Runcorn, WA7 1ND, United Kingdom

Data Engineer

Scania (Great Britain) Limited Willen, Buckinghamshire, MK18 1SB, United Kingdom

Senior Data Architect

Altro Norton, Hertfordshire, Hertfordshire, SG6 1AG, United Kingdom

Head of Enterprise Data Delivery

Amplius Milton Keynes, Buckinghamshire, United Kingdom
£80,000 pa Hybrid

Contract Snowflake Data Engineer

Cathcart Technology Edinburgh, Alba / Scotland, United Kingdom
£500 – £550 pd
Posted
23 Apr 2025 (12 months ago)

Head of Data Architecture

Our trusted partner is hiring a Head of Data Architecture to lead the data architectural strategy as our client moves from legacy on-premise data into a cloud-first data approach. Our client is seeking a people manager with recent architecture capabilities to deliver new designs & changes to existing / new business data solutions leveraging tools such as Databricks, Synapse, and ER Studio with experience in Azure or AWS. Our client is offering a basic salary of £100,000 to £120,000 + 40% LTIP bonus + car allowance to be based in Chatham or Wolverhampton on a hybrid basis (some meetings can also be in London).

This is an exciting/challenging opportunity. You will lead the data architecture function, set the architectural direction, and establish the enterprise data catalog during a pivotal period in our client's history.

Role and Responsibilities:

Define and maintain the target data architecture and road map (including the build-out of enterprise data platforms and increased use of cloud technologies)
Work with senior stakeholders across our client to drive adoption of the target data architecture
Establish data architecture frameworks, standards and patterns that ensure consistent wide storage, consumption, and distribution of data
Lead the scoping, and initial pre-project design of candidate data projects
Develop and own key data architecture outputs, including a catalog of authoritative sources, ensuring technical design documentation and appropriate design approval process is followed
Recruit and lead a small but high-performing team of data architects and data analysts
Essential experience

Recent head of or senior management of a data architecture environment, preferably within Financial Services, is a must.
Strong knowledge of data solutions and an ability to translate this into solutions for the broader business is essential
Recent exposure to modern data architectures using Azure Databricks, Synapse, ER studio etc, is a must-have
Domain experience in a regulated environment, insurance, finance, or energy is a must-have
Strong understanding and experience of cloud data architectures in Azure or AWS is a must-have
Benefits Package:

£120,000 circa salary / 40% LTIP Bonus / Car Allowance / Excellent Pension / Hybrid working / 30 Days Holiday / Medical Cover / Life Cover
Head of Data Architecture

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.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

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

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.