Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Architect

Stott & May Professional Search Limited
London
3 days ago
Create job alert

Role Title: Data Architect
Location: London - Hybrid (2 days in office)
Day Rate: Market rate (Inside IR35)
Contract Duration: Minimum 6 months

Role Overview

We are seeking a talented Data Architect to join our data-driven transformation journey. This is an exciting opportunity to work with cutting-edge technologies such as Data Vault, Snowflake, DBT, Airflow, and AWS/Azure, designing and delivering innovative data solutions that empower analytics and drive business value.
As a Data Architect, you will collaborate closely with Product Owners, engineers, and analytics teams to design, build, and maintain robust data models and architecture. This role is ideal for a professional passionate about creating order within complex data structures and delivering impactful, scalable data solutions.

Key Responsibilities

*
Design and develop enterprise data architecture and advanced data models that support business requirements.
*
Triaging new requirements, assessing impact, and providing estimates for updates to data models.
*
Develop and enhance physical data models while ensuring alignment with business and technical standards.
*
Act as custodian of data models, defining and enforcing modelling principles within delivery teams.
*
Ensure solutions meet business needs while aligning with the overall end-state architecture.
*
Document, communicate, and centrally manage data models to promote consistency and reuse.
*
Collaborate with the broader architecture community to share expertise and promote innovation.
*
Stay up to date with emerging technologies, including machine learning, AI/ML, and modern algorithmic techniques at scale, applying best practices to data design.
*
Translate business requirements into actionable, scalable, and effective data solutions.

Essential Skills & Experience

*
Strong experience in data architecture, modelling, and data warehousing.
*
Expertise with various modelling methodologies, including 3NF, Dimensional, and Data Vault.
*
Proven ability to work with large, complex datasets and deliver actionable insights.
*
Familiarity with cloud platforms (AWS/Azure) and experience with cloud data solutions/migrations.
*
Strong communication and influencing skills to engage with stakeholders and cross-functional teams.
*
Critical thinking and problem-solving skills, with the ability to translate business requirements into technical solutions.
*
Collaborative mindset with strong interpersonal skills.

Desirable Skills

*
Exposure to AI/ML and Generative AI technologies.
*
Experience with data visualisation tools such as Power BI or MicroStrategy.
TPBN1_UKTJ

Related Jobs

View all jobs

Data Architect

Data Architect

Data Architect - Azure Data Factory – SC Cleared

Data Architect – AI – Public Sector

Data Architect - Data Vault, Snowflake, ADF

Data Architect (IT) / Freelance

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.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.