Senior Data Architect (Hiring Immediately)

Zebra People
London
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Architect

Senior Data Architect

Senior Data Architect

Senior Data Engineer

Senior AI/ML Data Architect

Senior Data Engineer

Are you looking for a role where you can design and implement cutting-edge data systems in a company making a real difference in healthcare? Do you want to be part of a mission-driven team revolutionising how healthcare teams communicate, while working in a hybrid setup that values collaboration and flexibility?

If you’re a hands-on Data Architect with a passion for building scalable systems and solving complex data challenges, this could be the perfect role for you.


What’s in it for you?

You’ll receive a salary of up to £100K, alongside benefits including access to a flexible perks platform where you can choose private health insurance, wellness options, and more.

You’ll work in a hybrid environment, where you’ll collaborate three days a week in a vibrant Shoreditch office with your team. The office offers free healthy breakfasts, lunches, and snacks, prepared by an in-house chef. You’ll also benefit from a £600 annual development budget, enhanced parental leave, and even a policy that allows you to work abroad for short periods.


What you’ll be doing

As the Senior Data Architect, you’ll be the first hire in this role, reporting directly to the Head of Data. This is a hands-on position where you’ll design, implement, and maintain the company’s data architecture, driving forward its data engineering capabilities. You’ll work with cross-functional product teams, collaborating with sub-teams in BI, Data Science & Analytics, and Data Engineering to align data strategies and optimise infrastructure.

Your work will include:

  • Data Transfers:Solving the challenge of transferring large tables from SQL Server to Snowflake and ensuring data flows smoothly across the organisation.
  • Integration & Standardisation:Reviewing and integrating data across tools like Azure Data Factory, Python, and Snowflake, while standardising processes and building scalable systems.
  • Architectural Vision:Collaborating with technical and non-technical stakeholders to define and enforce best practices, ensuring the architecture supports data-driven decision-making across analytics, machine learning, and BI.

About you

You’ll bring strong expertise in:

  • Azure Data Factory:Experience working at scale is highly valued.
  • Python:Advanced skills to build and optimise data pipelines.
  • SQL: Proficient in querying and transforming data to ensure accuracy.
  • ETL: Experience with designing and managing ETL processes for data integration and transformation.
  • Cloud Environments:Hands-on experience with Azure, including setting up and managing environments for production use.

Bonus points if you have experience setting up data production environments from scratch, including server configuration and environment setup, or if you've worked with SQL to Snowflake integrations. Experience navigating data security challenges, particularly in sensitive industries like healthcare, will also set you apart.


You’ll thrive in this role if you’re motivated by improving healthcare, adaptable to change, and eager to own your work in a dynamic environment. Whether your background is in startups or larger organisations, your ability to build scalable, robust systems will make an impact.


A bit about the company

This health-tech company is revolutionising communication in the healthcare sector with a user-centric SaaS platform. Widely adopted in primary care, it is expanding into hospitals, pharmacies, and other healthcare environments. By partnering with healthcare professionals, the company is driving meaningful improvements in how care is delivered. Backed by recent funding, they are scaling their product and entering new areas of healthcare.



The interview process

  1. Initial Chat: Meet with the team for a competency-based interview.
  2. Technical Assessment:Work through a collaborative tech task, possibly followed by a system design challenge.
  3. Final Stage: Discuss culture and values fit with the leadership team.


Don’t worry if your CV isn’t up to date—just drop me a message at , and we can take it from there.

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 Best AI Books for UK Job Seekers: Boost Your Artificial Intelligence Career in 2025

The field of Artificial Intelligence (AI) is advancing at a phenomenal pace, and the demand for skilled professionals in the UK job market—and globally—has never been higher. Whether you’re a newcomer looking to break into the industry or a seasoned professional wanting to future-proof your skill set, reading the right books can make all the difference. From foundational texts that build core understanding to more advanced works diving into cutting-edge technologies, these resources will equip you with the knowledge and insights needed to succeed in AI-related roles. In this comprehensive blog post, we’ll explore ten must-read books for job seekers eager to stand out in a competitive AI recruitment landscape. We’ll examine what each book brings to the table, how it can help you refine both your theoretical and practical skills, and why it’s relevant to your career development. By the end, you’ll have a reading list guaranteed to strengthen your CV and your capabilities, giving you a competitive edge as you carve out a successful AI career.

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

The field of Artificial Intelligence (AI) is growing at an astonishing pace, offering a wealth of opportunities for talented professionals. From machine learning engineers and data scientists to natural language processing (NLP) specialists and computer vision experts, the demand for skilled AI practitioners continues to surge in the UK and globally. AI career fairs present a unique opportunity to connect face-to-face with potential employers, discover cutting-edge innovations, and learn more about the rapidly evolving landscape of data-driven technologies. Yet, attending these events can feel overwhelming: dozens of companies, queues of applicants, and only minutes to make a great first impression. In this detailed guide, we’ll walk you through strategies to prepare for AI career fairs, provide you with key questions to ask, highlight examples of relevant UK events, and reveal the critical follow-up tactics that will help you stand out from the crowd. By the end, you’ll be armed with the knowledge and confidence to land your dream role in the ever-growing world of Artificial Intelligence.

Common Pitfalls AI Job Seekers Face and How to Avoid Them

The global demand for Artificial Intelligence (AI) specialists continues to rise, with organisations across industries keen to implement machine learning, deep learning, and data-driven insights into their operations. Yet, as the market for AI professionals flourishes, so does the level of competition among candidates. Talented individuals who may otherwise be qualified often stumble on common pitfalls that can hinder their success in securing an AI-related role. These pitfalls can lie in their CV, interview approach, job search strategy, or even their understanding of what AI employers are looking for. This article aims to help job seekers in the UK’s AI sector—whether you’re fresh out of university, transitioning into AI from another field, or looking for a senior-level position—avoid the most common mistakes. We’ll discuss how to stand out in a crowded AI job market by improving your CV, acing interviews, and conducting an effective job search. Read on to discover the typical missteps AI professionals make when seeking employment and learn the strategies to avoid them.