Data Platform Technical Architect

Clerkenwell
5 months ago
Applications closed

Related Jobs

View all jobs

Head of Data Science & Applied AI

Head of Data Science & Applied AI New Remote, UK

Senior Pre-Sales Data Scientist

Data Engineer - Python & Azure

Data Engineer - Python & Azure

Claims Data Scientist

Data Platform Technical Architect – London/ Hybrid £80,000 to £90,000

We’re partnered with one of the UK’s leading brands that are currently hiring for a Data Product Management Lead. Our client is driven to be the best in the field and outdo with their experience in data and technology. The business has modified the work structure to help the customers, take on new technologies and develop business outclass.

The Data Platform Technical Architect will focus on leading and shaping the architectural design of the Data Platform to make sure that it is well integrated with the company’s system and adheres to regulatory requirements.

The position will benefit from hybrid working of 3 days a week onsite from their London office.

Requirements of the Data Platform Technical Architect:

-          5+ Years experience in Data Architect or similar position

-          Strong experience in Enterprise Data Platform (EDP) Architecture

-          Essential expertise in cloud solutions to include Azure and Databricks

-          Technically able to enable PaaS for data products

-          Good knowledge of data security, governance and compliance

-          Understanding of architecture data platforms that support machine learning (ML) pipelines, analytics and data science workloads.

Responsibilities of the Data Platform Technical Architect:

-          Make sure the Enterprise Data Platform (EDP) supports machine learning (ML) and data capabilities

-          Manage the data platforms connectivity to ensure integration between EDP and other business systems.

-          Represent the data platforms in architecture governance to align with the architectural principles, data governance policies and company technology standards.

-          Aim for continuous improvement and cost optimisation for the use of cloud

solutions, data platform and company integration.

Data Platform Technical Architect – London/ Hybrid £80,000 to £90,000

To discuss this exciting opportunity in more detail, please APPLY NOW for a no obligation chat with your VIQU Consultant. Additionally, you can contact Dan Freeman @

If you know someone who would be ideal for this role, by way of showing our appreciation, VIQU is offering an introduction fee up to £1,000 once your referral has successfully started work with our client (terms apply).

To be the first to hear about other exciting opportunities, technology and recruitment news, please also follow us at ‘VIQU IT Recruitment’ on LinkedIn, and Twitter: @VIQU_UK

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.

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

In the fast-evolving world of artificial intelligence (AI), an impressive portfolio of projects can act as your passport to landing a sought-after role. Even if you’ve aced interviews in the past, employers in AI and machine learning (ML) are increasingly asking candidates to demonstrate hands-on experience through the projects they’ve built and shared online. This is because practical ability often speaks volumes about your suitability for a role—far more than any exam or certification alone could. In this article, we’ll explore how to build an outstanding AI portfolio that catches the eye of recruiters and hiring managers, including: Why an AI portfolio is crucial for job seekers. How to choose AI projects that align with your target roles. Specific project ideas and real GitHub examples to help you stand out. Best practices for showcasing your work, from writing clear READMEs to using Jupyter notebooks effectively. Tips on structuring your GitHub so that employers can instantly see your value. Moreover, we’ll discuss how you can use your portfolio to connect with top employers in AI, with a handy link to our CV-upload page on Artificial Intelligence Jobs for when you’re ready to apply. By the end, you’ll have a clear roadmap to building a portfolio that will help secure interviews—and the AI job—of your dreams.

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

In today's competitive AI job market, nailing a technical interview can be the difference between landing your dream role and getting lost in the crowd. Whether you're looking to break into machine learning, deep learning, NLP (Natural Language Processing), or data science, your problem-solving skills and system design expertise are certain to be put to the test. AI‑related job interviews typically involve a range of coding challenges, algorithmic puzzles, and system design questions. You’ll often be asked to delve into the principles of machine learning pipelines, discuss how to optimise large-scale systems, and demonstrate your coding proficiency in languages like Python, C++, or Java. Adequate preparation not only boosts your confidence but also reduces the likelihood of fumbling through unfamiliar territory. If you’re actively seeking positions at major tech companies or innovative AI start-ups, then check out www.artificialintelligencejobs.co.uk for some of the latest vacancies in the UK. Meanwhile, this blog post will guide you through 30 real coding & system-design questions you’re likely to encounter during your AI job interview. This list is designed to help you practise, anticipate typical question patterns, and stay ahead of the competition. By reading through each question and thinking about the possible approaches, you’ll sharpen your problem-solving skills, time management, and critical thinking. Each question covers fundamental concepts that employers regularly test, ensuring you’re well-equipped for success. Let’s dive right in.

Negotiating Your AI Job Offer: Equity, Bonuses & Perks Explained

Artificial intelligence (AI) has proven itself to be one of the most transformative forces in today’s business world. From smart chatbots in customer service to predictive analytics in finance, AI technologies are reshaping how organisations operate and innovate. As the demand for AI professionals grows, so does the complexity of compensation packages. If you’re a mid‑senior AI professional, you’ve likely seen job offers that include far more than just a base salary—think equity, bonuses, and a range of perks designed to entice you into joining or staying with a company. For many, the focus remains squarely on salary. While that’s understandable—after all, your monthly take‑home pay is what covers day-to-day expenses—limiting your negotiations to salary alone can leave considerable value on the table. From stock options in ambitious startups to sign‑on bonuses that ‘buy you out’ of your current contract, modern AI job offers often include elements that can significantly boost your long-term wealth and job satisfaction. This article aims to shed light on the full scope of AI compensation—specifically focusing on how equity, bonuses, and perks can enhance (or sometimes detract from) the overall value of your package. We’ll delve into how these elements work in practice, what to watch out for, and how to navigate the negotiation process effectively. Our goal is to provide mid‑senior AI professionals with the insights and tools to land a holistic compensation deal that accurately reflects their technical expertise, leadership potential, and strategic importance in this fast-moving field. Whether you’re eyeing a leadership role in machine learning at an established tech giant, or you’re considering a pioneering position at a disruptive AI startup, the knowledge in this guide will help you weigh the merits of base salary alongside the potential riches—and risks—of equity, bonuses, and other benefits. By the end, you’ll have a clearer sense of how to align your compensation with both your immediate lifestyle needs and long-term career aspirations.