Engineer the Quantum RevolutionYour expertise can help us shape the future of quantum computing at Oxford Ionics.

View Open Roles

Data Architect

Vadis People
Greater London
2 years ago
Applications closed

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect

Data Architect - Inside IR35 6 month contract

Data Architect - NHS - Erwin - Remote - Inside IR35

Data Architect

Data Architect (Snowflake Data Platform)
Central London
Circ £75k - £95k + Bens

Data Architect required to join a young and expanding team that’s embarking on a programme to build a new Data Platform. This is a rare greenfield opportunity that will focus on the design, development, implementation, and continuous improvement of a new Snowflake Cloud based Data Platform being deployed in the UK and internationally. The role will help improve revenue, customer satisfaction, retention and acquisition by delivering actionable insight from customer data. It's a pivotal role for the build of the Data Platform and the data and solution design for additional incremental projects. The post is equally suitable for seasoned Data / Solution / Enterprise Architects, as it is for those with Snowflake Cloud experience looking for an opportunity to step into an Architectural role where they can develop and grow their skills further. What's essential is being a passionate team player that thrives working in a collaborative environment. You’ll be a natural problem solver with a flexible can-do attitude and pragmatic approach. Someone that can multitask and embrace change whilst structure and process become more mature overtime. Based in Central London with some flexibility to work from home (2 or possibly 3 days per week), our client is a major player in the entertainment industry and as such this role would appeal to those that enjoy the world of live entertainment.

The Key responsibilities for the post include: 

Maximising the value derived from data, collaborating across technical and business teams to create assets that can be used and understood. Use the data platform to support (and in some cases automate) decision making across the business. Own the design and help drive the delivery of a transformation from a data warehouse to a data platform. Bring together data to constantly improve understanding of products and customers. Forecast customer demand and model the impact of deploying various strategies. Be an active part of the data community as it builds new capability across disciplines. 


To be considered for the position you’d be expected to have a good proportion of the following skills and experience: 
Strong experience in successful data platform design and delivery. Experience with Snowflake Data Platforms Experience in delivering revenue generating and / or cost reduction change from a data platform. Experience of manipulating and ‘making sense’ of data from disparate sources Likely to have had a technical background, you’ll have experience of writing complex queries, with knowledge of SQL and Python. Expert at communicating and collaborating with technical and non-technical colleagues and stakeholders. Knowledge / Previous experience of AWS, Fivetran, DBT and PowerBI would be beneficial. 
Our client can offer a salary in the region of £75,000 - £95,000 (dependent on experience) plus an attractive benefits package that includes a bonus scheme. They’re also committed to being a great employer that recognise and accommodate talented people with diverse needs and provide opportunities for all regardless of background. For further information, please send your CV to Wayne Hawthorne at Vadis People Services Ltd. Vadis acts in the capacity of both an Employment Agent and Employment Business.

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.

Seasonal Hiring Peaks for Data Science Jobs: The Best Months to Apply & Why

The UK's data science sector has matured into one of Europe's most intellectually rewarding and financially attractive technology markets, with roles spanning from junior data analysts to principal data scientists and heads of artificial intelligence. With data science positions commanding salaries from £30,000 for graduate data analysts to £140,000+ for senior principal scientists, understanding when organisations actively recruit can dramatically accelerate your career progression in this intellectually stimulating and rapidly evolving field. Unlike traditional analytical roles, data science hiring follows distinct patterns influenced by business intelligence cycles, research funding schedules, and machine learning project timelines. The sector's unique combination of mathematical rigour, business impact requirements, and cutting-edge technology adoption creates predictable hiring windows that strategic professionals can leverage to advance their careers in extracting insights from tomorrow's data. This comprehensive guide explores the optimal timing for data science job applications in the UK, examining how enterprise analytics strategies, academic research cycles, and artificial intelligence initiatives influence recruitment patterns, and why strategic timing can determine whether you join a pioneering AI research team or miss the opportunity to develop the next generation of intelligent systems.

Pre-Employment Checks for Data Science Jobs: DBS, References & Right-to-Work and more Explained

Pre-employment screening in data science reflects the discipline's unique position at the intersection of statistical analysis, machine learning innovation, and strategic business intelligence. Data scientists often have privileged access to comprehensive datasets, proprietary algorithms, and business-critical insights that form the foundation of organisational strategy and competitive positioning. The data science industry operates within complex regulatory frameworks spanning GDPR, sector-specific data protection requirements, and emerging AI governance regulations. Data scientists must demonstrate not only technical competence in statistical modelling and machine learning but also deep understanding of research ethics, data privacy principles, and the societal implications of algorithmic decision-making. Modern data science roles frequently involve analysing personally identifiable information, financial data, healthcare records, and sensitive business intelligence across multiple jurisdictions and regulatory frameworks simultaneously. The combination of analytical privilege, predictive capabilities, and strategic influence makes thorough candidate verification essential for maintaining compliance, security, and public trust in data-driven insights and automated systems.

Why Now Is the Perfect Time to Launch Your Career in Data Science: The UK's Analytics Revolution

The United Kingdom stands at the forefront of a data science revolution that's reshaping how businesses make decisions, governments craft policies, and society tackles its greatest challenges. From the machine learning algorithms powering London's fintech innovation to the predictive models guiding Manchester's smart city initiatives, Britain's transformation into a data-driven economy has created an unprecedented demand for skilled data scientists that far outstrips the available talent. If you've been contemplating a career transition or seeking to position yourself at the cutting edge of the digital economy, data science represents one of the most intellectually stimulating, financially rewarding, and socially impactful career paths available today. The convergence of big data maturation, artificial intelligence mainstream adoption, business intelligence evolution, and cross-industry digital transformation has created the perfect conditions for data science career success.