Data Architect - London - £68,000

London
1 month ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect

Data Architect - London - £68,000

My client are a large professional body who are working on an exciting new opportunity for a Data Architect to join the team. This role would be well suited to an experienced Data Engineer who is looking to take their next step in their career towards Data Architecture.

In this role you would take the lead on all architecture and engineering projects with the goal of optimising the organisations data infrastructure with a focus on data, AI and reporting. You will lead on data modelling and data warehousing efforts internally and help to create a scalable data solution within Azure. A big part of the role will be working with stakeholders to understand their insight requirements and ensure the reporting function has access to the relevant data for them to create visualisations.

There is a huge focus internally on the use of Data Science, AI and Machine Learning and this role will play a vital role in this product roadmap. The business are using their data to understand customer behaviours, in order to make predictions on future business and to identify areas for future growth. This is a new role in the business and is a key position within a growing tech function.

Some of the responsibilities for the role include

Design and develop the internal data infrastructure including the data warehouse, data stores and data marts
Design a cloud-based solution suitable for the use of AI and big data
Collaborate with stakeholders to align data architectural requirements to business goals
Monitor data pipeline performance and address performance issues
Act as technical lead for the team and provide guidance to team membersTo be successful in this role you will have.

Familiarity of data architectural principles
Technical experience with Azure tech stack such as Data Factory, Azure Data Lakes and Synapse Analytics
Strong data modelling and data warehousing experience
Experience building relationships with both technical and non-technical stakeholdersThis is a role where you will be required to work from the clients London office up to twice per week with the rest of the time working remotely. The role is offering a starting salary of up to £68,000 depending on experience plus benefits package.

This is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now!

Tenth Revolution Group are the go-to recruiter for Power BI and Azure Data Platform roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. We are the global leaders in Microsoft recruitment

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.

10 Essential Books to Read to Nail Your Data Science Career in the UK

Data science continues to be one of the most exciting and rapidly evolving fields in tech. With industries across the UK—ranging from finance and healthcare to e-commerce and government—embracing data-driven decision-making, the demand for skilled data scientists has soared. Whether you're a recent graduate looking for your first role or a professional aiming to advance your career, staying updated through books is crucial. In this article, we explore ten essential books every data science job seeker in the UK should read. Each book provides valuable insights into core concepts, practical applications, and industry-standard tools, helping you build skills employers are actively looking for.

Navigating Data Science Career Fairs Like a Pro: Preparing Your Pitch, Questions to Ask, and Follow-Up Strategies to Stand Out

Data science has taken centre stage in the modern workplace. Organisations rely on data-driven insights to shape everything from product innovation and customer experience to operational efficiency and strategic planning. As a result, there is a growing need for skilled data scientists who can analyse large volumes of data, build predictive models, communicate findings effectively, and collaborate cross-functionally. If you are looking to accelerate your data science career—or even land your first role—attending data science career fairs can be a game-changer. Unlike traditional online applications, face-to-face interactions let you showcase your personality, passion, and communication skills in addition to your technical expertise. However, to stand out in a busy environment, you need a clear strategy: from polishing your personal pitch and asking thoughtful questions to following up with a memorable message. In this article, we’ll guide you through every step of making a strong impression at data science career fairs in the UK and beyond.

Common Pitfalls Data Science Job Seekers Face and How to Avoid Them

Data science has become a linchpin for decision-making and innovation across countless industries, from finance and healthcare to tech and retail. The demand for data scientists in the UK continues to climb, with businesses seeking professionals who can interpret complex datasets, build predictive models, and communicate actionable insights. Despite this high demand, the job market can be extremely competitive—and many applicants unknowingly fall into avoidable traps. Whether you’re an aspiring data scientist fresh out of university, a professional transitioning from a quantitative role, or a seasoned analyst looking to expand your skill set, it’s crucial to navigate your job search effectively. In this article, we explore the most common pitfalls data science job seekers face and provide pragmatic advice to help you stand out. By refining your CV, portfolio, interview strategies, and communication skills, you can significantly increase your chances of landing a rewarding data science role. If you’re looking for your next data science job in the UK, don’t forget to explore the listings at Data Science Jobs. Read on to discover how to avoid critical mistakes and position yourself for success.