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- Tasks: Shape and deliver Data & AI architecture while collaborating on transformative projects.
- Company: Join a leading organisation focused on innovative data-driven solutions.
- Benefits: Enjoy hybrid working, with flexibility to work from home and in the office.
- Other info: Work closely with industry experts and contribute to high-visibility projects.
- Why this job: Be part of impactful Data & AI initiatives that drive real business transformation.
- Qualifications: Proven experience in delivering scalable data architecture in dynamic environments.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Senior Data Architect – Remote first.
Hybrid (UK) | Permanent
A well‑established UK organisation is continuing a large‑scale data and analytics transformation and is looking to hire a hands‑on Senior Data Architect to play a key role in shaping, and delivering modern cloud data solutions.
We’re looking for someone who enjoys working close to delivery teams, shaping solutions, reviewing designs, and acting as the architectural glue between business, analysts, engineers and programme leads on a number of large scale transformation programmes.
The Opportunity
You’ll join a growing data function at a time of significant investment, supporting:
- The build‑out of a future‑state single data platform (Microsoft Fabric)
- Ongoing evolution of Databricks, including a Single Customer View capability
- Major modernisation of legacy MI and reporting platforms (on‑prem SQL Server → cloud → Fabric)
- Finance and actuarial data initiatives, including removing spreadsheet‑driven / EUC processes in favour of automated, governed solutions
This role is about practical data architecture — providing design authority, shaping solutions, and ensuring scalable, well‑governed data designs are implemented across change programmes.
What You’ll Be Doing
- Acting as solution‑level Data Architect across multiple programme initiatives
- Defining and reviewing high‑ and low‑level data designs
- Providing design authority and assurance for data platforms, pipelines and analytics solutions
- Working closely with BAs, engineers and agile delivery teams
- Supporting the transition of legacy MI and analytics workloads to modern cloud architecture
- Helping define data pipelines, common data models and semantic layers (Power BI aligned)
- Partnering with Finance and Actuarial teams on data‑led transformation initiatives
What We’re Looking For
Essential
We’re keen to speak with candidates who bring a balance of technical depth and delivery mindset, including:
- Extensive experience in data-focused roles
- Strong background in traditional data warehousing, alongside modern cloud data platforms
- Experience designing data solutions in the cloud (Azure preferred)
Desirable
Hands‑on experience with platforms such as:
- Azure / Databricks
- SQL Server (legacy estates)
- Microsoft data & analytics tooling
- Comfortable operating between strategy and implementation
Hybrid Working
This role is offered on a hybrid basis. While there is an office presence in the South of England, flexibility is available, depending on location and role demands.
Package & Benefits
Overall package worth in excess of ÂŁ115,000
This is an opportunity to join a values‑led organisation offering long‑term career development and meaningful transformation work on
- Genuine, large‑scale data transformation
- Modern Microsoft‑aligned data strategy
- Growing, collaborative data function
- High‑impact role with real ownership
- Hybrid working and realistic expectations
Interested?
Apply now or contact Denise Morris – Insurance Practice Lead, Sanderson for a confidential conversation.
Data Architect employer: Sanderson
Contact Detail:
Sanderson Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect
✨Tip Number 1
Familiarise yourself with the latest trends in Data Architecture and AI. Being able to discuss current technologies and methodologies during your conversations will show that you're not just knowledgeable but also passionate about the field.
✨Tip Number 2
Network with professionals in the Data and AI space. Attend industry events or webinars where you can meet potential colleagues or mentors. Building these connections can provide valuable insights and may even lead to referrals.
✨Tip Number 3
Prepare to discuss specific projects you've worked on that align with the responsibilities of the role. Highlight your experience in shaping data architecture and how it contributed to business transformation, as this will resonate well with the hiring team.
✨Tip Number 4
Showcase your understanding of data governance and regulatory requirements. Be ready to explain how you've ensured compliance in past roles, as this is crucial for the position and will demonstrate your capability to handle the responsibilities effectively.
We think you need these skills to ace Data Architect
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data architecture and AI initiatives. Use specific examples that demonstrate your ability to deliver scalable architecture and influence enterprise decisions.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data and AI. Discuss how your vision aligns with the company's goals and how you can contribute to their transformative initiatives.
Showcase Technical Skills: Clearly outline your technical skills related to data governance, enterprise architecture principles, and any relevant tools or methodologies you are proficient in. This will help demonstrate your fit for the role.
Highlight Collaborative Experience: Emphasise your experience working with cross-functional teams, such as Data Stewards and Business SMEs. Showcase how you've contributed to aligning data definitions and models in previous roles.
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 implement robust data architectures. Prepare examples of past projects where you've successfully shaped data strategies and how they 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 data models, governance frameworks, and AI initiatives. Highlight any relevant tools or methodologies you've used that align with the company's architecture principles.