AI Cloud Data Architect

London
2 months ago
Applications closed

Related Jobs

View all jobs

Lead Data Architect

Senior Data Engineer - Databricks

Senior Data Engineer - Databricks

Data Architect

Senior Data Engineer

Senior Lead Architect - Data Architect - Cloud Modernization

Cloud Data Architect, Azure, PaaS, OO, ETL, Microsoft, Mainly Remote

Cloud Data Architect required to work for a fast growing business based in Central London. However, this will be practically remote – there will be some travel to the Central London offices, and as it is a global role, there will be some global travel from time to time. However, ALL travel and accommodation expenses will be paid.

We need an experienced Cloud Data Architect, who is well rounded, highly experienced and has good, solid Microsoft Stack skills. Read on for more details…

Key responsibilities:

  • Architecting and designing solutions in a cloud native data environment

  • Guide and coach the development teams and data engineers around architectural data topics

  • Adhere and contribute to internal Secure Development policies and play a proactive role in making sure application are secure by design

  • Adhere to company Change Management procedures

  • Adhere and contribute to the company architecture standards and guidelines

  • Communicating effectively with the Enterprise Architect, Product Manager, Senior manager Technology Services, Portfolio managers, Global IT and other key stakeholders

  • Support Level 3 investigations

  • Provide leadership to other team members working in an Agile environment

    Experience required:

  • Ideally a degree in Computer Science or similar (this is not essential)

  • Expert skill level with circa 3-4 years' experience with the following technologies:

    • Azure PaaS Data Services

    • Object Oriented Analysis and Design

    • CI/CD and source control

    • ETL techniques and principles

    • Data modelling

    • Master Data Management

    • Data Visualization

  • Experienced in designing and implementing data platform, reporting and analytics solutions in the Microsoft Azure ecosystem

  • Familiarity with Agile Project Management and methodologies desired

  • Able to exercise independent judgement and take action on it

  • Excellent analytical and creative problem-solving skills

  • Excellent listening, written, and oral communication skills

  • Strong relationship, interpersonal, and team skills

  • Highly self-motivated and directed

  • Experience working in a team-oriented, collaborative environment

    This is a great opportunity and salary is dependent upon experience. Apply now for more details

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.

Data Science Jobs at Newly Funded UK Start-ups: Q3 2025 Investment Tracker

Data science has become an indispensable cornerstone of modern business, driving decisions across finance, healthcare, e-commerce, manufacturing, and beyond. As organisations scramble to capitalise on the insights their data can offer, data scientists and machine learning (ML) experts find themselves in ever-higher demand. In the UK, which has cultivated a robust ecosystem of tech innovation and academic excellence, data-driven start-ups continue to blossom—fuelled by venture capital, government grants, and a vibrant talent pool. In this Q3 2025 Investment Tracker, we delve into the newly funded UK start-ups making waves in data science. Beyond celebrating their funding milestones, we’ll explore the job opportunities these investments have created for aspiring and seasoned data scientists alike. Whether you’re interested in advanced analytics, NLP (Natural Language Processing), computer vision, or MLOps, these start-ups might just offer the career leap you’ve been waiting for.

Portfolio Projects That Get You Hired for Data Science Jobs (With Real GitHub Examples)

Data science is at the forefront of innovation, enabling organisations to turn vast amounts of data into actionable insights. Whether it’s building predictive models, performing exploratory analyses, or designing end-to-end machine learning solutions, data scientists are in high demand across every sector. But how can you stand out in a crowded job market? Alongside a solid CV, a well-curated data science portfolio often makes the difference between getting an interview and getting overlooked. In this comprehensive guide, we’ll explore: Why a data science portfolio is essential for job seekers. Selecting projects that align with your target data science roles. Real GitHub examples showcasing best practices. Actionable project ideas you can build right now. Best ways to present your projects and ensure recruiters can find them easily. By the end, you’ll be equipped to craft a compelling portfolio that proves your skills in a tangible way. And when you’re ready for your next career move, remember to upload your CV on DataScience-Jobs.co.uk so that your newly showcased work can be discovered by employers looking for exactly what you have to offer.

Data Science Job Interview Warm‑Up: 30 Real Coding & System‑Design Questions

Data science has become one of the most sought‑after fields in technology, leveraging mathematics, statistics, machine learning, and programming to derive valuable insights from data. Organisations across every sector—finance, healthcare, retail, government—rely on data scientists to build predictive models, understand patterns, and shape strategy with data‑driven decisions. If you’re gearing up for a data science interview, expect a well‑rounded evaluation. Beyond statistics and algorithms, many roles also require data wrangling, visualisation, software engineering, and communication skills. Interviewers want to see if you can slice and dice messy datasets, design experiments, and scale ML models to production. In this guide, we’ll explore 30 real coding & system‑design questions commonly posed in data science interviews. You’ll find challenges ranging from algorithmic coding and statistical puzzle‑solving to the architectural side of building data science platforms in real‑world settings. By practising with these questions, you’ll gain the confidence and clarity needed to stand out among competitive candidates. And if you’re actively seeking data science opportunities in the UK, be sure to visit www.datascience-jobs.co.uk. It’s a comprehensive hub featuring junior, mid‑level, and senior data science vacancies—spanning start‑ups to FTSE 100 companies. Let’s dive into what you need to know.