At a Glance
- Tasks: Shape and deliver Data & AI architecture while collaborating with a high-performing team.
- Company: Join a leading organisation focused on transformative Data & AI initiatives across multiple domains.
- Benefits: Enjoy hybrid working options and a meaningful role with significant impact.
- Other info: Work from home 2-3 days a week at your choice of office.
- Why this job: Be at the forefront of innovation, influencing enterprise-wide decisions in a fast-paced environment.
- Qualifications: Proven experience in delivering scalable data architecture and governance.
The predicted salary is between 48000 - 72000 £ per year.
Flexible working: 3days a week in the office
We’re partnering with a high-end retail brand on an exciting opportunity for a Data Architect to play a key role in shaping their data strategy and platform. This is a highly visible role, working across the business to design scalable data solutions and drive real commercial impact.
You’ll combine strong technical expertise with stakeholder engagement, taking ownership of data architecture from concept through to delivery.
Key Responsibilities:
- Design and deliver high-level and detailed data architecture (HL/DL), ensuring scalable and robust solutions aligned to business goals
- Define and own the data roadmap, driving the evolution of the data platform and supporting long-term strategy
- Work closely with senior stakeholders to translate business requirements into technical solutions and actionable data initiatives
- Provide hands‑on technical leadership across a Microsoft data stack, leveraging tools such as Databricks and PySpark
- Oversee end‑to‑end delivery of data solutions, ensuring designs are effectively implemented by engineering teams
If this role sounds of interest and you would like to know more do not hesitate to contact me on
#J-18808-LjbffrData Architect in London employer: Sanderson
Join a forward-thinking company that prioritises innovation and employee development, offering a hybrid working model that allows you to balance your professional and personal life. With a strong focus on transformative Data & AI initiatives, you'll have the opportunity to make a significant impact while collaborating with a high-performing team in a supportive work culture that values your contributions and fosters growth.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in London
✨Tip Number 1
Familiarise yourself with the latest trends in Data Architecture and AI. Being knowledgeable about current technologies and methodologies will help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
✨Tip Number 2
Network with professionals in the Data Architecture space. Attend industry events, webinars, or local meetups to connect with others in the field. This can lead to valuable insights and potentially even referrals to our open positions.
✨Tip Number 3
Prepare to discuss specific projects where you've successfully implemented data architecture solutions. Be ready to share your thought process, challenges faced, and how you overcame them, as this will showcase your problem-solving skills and experience.
✨Tip Number 4
Research our company culture and values at StudySmarter. Understanding what we stand for and how we operate will allow you to tailor your discussions and show how you align with our mission, making you a more attractive candidate.
We think you need these skills to ace Data Architect in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights relevant experience in data architecture, AI initiatives, and any specific technologies mentioned in the job description. Use keywords from the job posting to demonstrate your fit for the role.
Craft a Compelling Cover Letter:In your cover letter, express your passion for data architecture and AI. Mention specific projects or achievements that showcase your ability to deliver robust and scalable architecture, and explain how you can contribute to the company's goals.
Showcase Your Technical Skills:Include a section in your application that outlines your technical skills related to data governance, enterprise architecture, and any relevant tools or methodologies. This will help demonstrate your expertise and suitability for the role.
Highlight Collaborative Experience:Since the role involves working closely with various stakeholders, emphasise your experience in collaboration and teamwork. Provide examples of how you've worked with data stewards, analysts, or business SMEs to achieve common goals.
How to prepare for a job interview at Sanderson
✨Showcase Your Data Vision
As a Data Architect, it's crucial to demonstrate your ability to envision and articulate a robust data strategy. Prepare examples of past projects where you successfully shaped data architecture and how it contributed to business transformation.
✨Understand the Business Needs
Familiarise yourself with the specific business domains the company operates in. Be ready to discuss how you can align data architecture with their strategic goals and how your experience can help meet their unique challenges.
✨Highlight Collaboration Skills
This role involves working closely with various stakeholders, including Data Stewards and Business SMEs. Prepare to share instances where you've effectively collaborated across teams to achieve common data governance and architecture objectives.
✨Demonstrate Technical Proficiency
Be prepared to discuss the technical aspects of data architecture, including your experience with enterprise data models and AI initiatives. Brush up on relevant tools and methodologies that are essential for the role, as this will showcase your readiness to hit the ground running.
