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- Tasks: Lead the design of our innovative Lakehouse platform and shape the future of data architecture.
- Company: Join Irwin Mitchell, a forward-thinking firm investing in data and analytics.
- Benefits: Enjoy 25 days holiday, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment focused on cloud technology and AI-driven solutions.
- Why this job: Make a real impact by guiding data solutions and collaborating with diverse teams.
- Qualifications: Experience as a Solutions Architect with a strong grasp of modern data architectures.
The predicted salary is between 70000 - 90000 £ per year.
Irwin Mitchell is investing significantly in its data and analytics capability and is looking for an experienced Solutions Architect to play a pivotal role in shaping our data architecture. This is a design‑led Solutions Architect role — you’ll guide and assure solutions rather than write production code.
Responsibilities
- Lead the solution and architectural design of the firm’s Lakehouse platform, ensuring it supports core management systems and other large‑scale enterprise platforms.
- Design how data is exposed and consumed through API‑led architectures, enabling scalable data sharing and automation across the business.
- Shape the future data ecosystem, integrating new internal and external data sources into the Lakehouse.
- Work with data analytics, engineering, and insight teams to ensure architecture supports advanced analytics, Power BI, and operational use cases.
- Define how data outputs embed into downstream systems and workflows (e.g. Microsoft Dynamics, 3E, SuccessFactors).
- Act as a key advisor to system owners across the business, helping them access and leverage data safely and effectively.
- Partner with Procurement to ensure any new technology aligns with the Lakehouse and wider architectural standards.
- Contribute to future‑state thinking around AI‑enabled solutions, including automation, recommendations, and insight‑driven workflows.
- Produce high‑quality architecture artefacts (logical, physical, integration designs) and present them clearly to technical and non‑technical stakeholders.
Technology Environment
- Lakehouse architecture (Databricks)
- Azure‑based data platform
- API‑led integration and API Management
- Power BI built directly on the Lakehouse
- Strong alignment with the Microsoft ecosystem (Dynamics, Azure DevOps, enterprise platforms)
Essential Experience
- Proven experience in a Solutions Architect role, ideally within large, complex organisations.
- Strong understanding of modern data architectures, including:
- Data pipelines and data at scale
- API‑based data integration
- Lakehouse concepts and platforms (e.g. Databricks)
Desirable Experience
- Exposure to AI, machine learning or automation use cases, such as recommendation engines, next‑best‑action, or GenAI.
- Experience within professional services or similarly complex, knowledge‑led organisations.
Team & Stakeholders
- Architecture Team including Solutions and Enterprise Architects, all with a strong cloud focus.
- Data Analytics, Data Engineering, and Insight leaders.
- System owners, senior business stakeholders, and Procurement teams.
Benefits
- 25 days holidays as standard plus
Solutions Architect (6160) in London employer: Irwin Mitchell
Contact Detail:
Irwin Mitchell Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect (6160) in London
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal website showcasing your projects and achievements. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by researching the company and its culture. Tailor your answers to show how your experience aligns with their needs, especially around data architecture and solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Solutions Architect (6160) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Solutions Architect role. Highlight your experience with data architectures, API integrations, and any relevant projects that showcase your skills in a design-led environment.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've shaped data ecosystems or worked with analytics teams, and don’t forget to show your enthusiasm for joining Irwin Mitchell!
Showcase Your Technical Skills: We want to see your technical prowess! Include details about your experience with Lakehouse platforms, Azure, and any tools like Power BI. Make it clear how you’ve used these technologies to drive results in past roles.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values.
How to prepare for a job interview at Irwin Mitchell
✨Know Your Data Architecture
Make sure you brush up on your knowledge of modern data architectures, especially Lakehouse concepts and API-led integration. Be ready to discuss how you've designed solutions in the past and how they align with the responsibilities outlined in the job description.
✨Showcase Your Communication Skills
As a Solutions Architect, you'll need to communicate complex ideas to both technical and non-technical stakeholders. Prepare examples of how you've successfully presented architectural designs or influenced senior stakeholders in previous roles.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data architecture and integration. Think through potential scenarios where you might need to integrate new data sources or design scalable solutions, and be ready to explain your thought process.
✨Highlight Your Collaborative Experience
This role involves working closely with various teams, including data analytics and engineering. Be prepared to share specific examples of how you've collaborated across departments to achieve successful outcomes, particularly in regulated environments.