At a Glance
- Tasks: Design and present innovative data solutions using cutting-edge technologies like Azure and Databricks.
- Company: Join Advancing Analytics, a leader in pioneering analytical solutions worldwide.
- Benefits: Enjoy competitive salary, flexible working hours, and generous leave policies.
- Other info: Be part of a supportive team that values innovation and personal growth.
- Why this job: Make a real impact by shaping AI and data solutions for global clients.
- Qualifications: Experience in technical pre-sales and cloud data architecture is essential.
The predicted salary is between 80000 - 110000 £ per year.
Salary: £80,000 - £110,000 (depending on experience)
Location: Remote – must be based within the UK. Occasional visits to see customers and the team.
Interview process: Two rounds. 1: Get to know you chat with one of Talent Team; 2: Technical competency with two of the technical team; 3: Final Interview with our Chief Architect.
Our Values: Advancing, Come as you are, Zero burnout, We all level up together and Transparency.
Who Are We?
Advancing Analytics are a market leader in delivering pioneering analytical solutions for customers all over the world. To thrive in today's market, businesses need to implement AI built on a solid, reliable Data Platform, and we are looking for you to help us build it!
Who are we looking for?
The Solution Architect is a sales-focused role and you will own the technical win across our pipeline. You will work alongside Sales, Senior Leadership, and Delivery Leads to turn opportunities into signed work. You will qualify opportunities, shape the solution, build the demo, and present it to the client. As the trusted Databricks expert in the room, you will guide clients from the first technical conversation to a signed SoW. You will work closely with clients to understand their challenges, shape the right solutions, and help them make the most of modern data and AI technologies. You will play a key role in our most strategic engagements, supporting complex programmes and influencing how we leverage Agentic AI, automation, data platforms, and self-serve analytics to drive client outcomes.
Key Responsibilities:
- Solution Design & Architecture: Design and document end-to-end data and AI solutions using Azure, Databricks, and related services. Translate business and technical requirements into clear architecture designs that delivery teams can build. Apply our existing standards, patterns, and reference architectures. Identify technical risks early, own them on the project risk register and be accountable for their mitigation and resolution. Produce design artefacts and present them at architectural forums, from engineering teams through to senior executives. Shape and guide the design of intelligent data platform projects using Lakehouse architectures, making data available for reporting, AI, and analytics.
- Pre-Sales & Commercial: Get involved early in client conversations to qualify opportunities and recommend the right approach. Run structured discovery workshops with data, analytics, and platform teams. Capture requirements, current state, workloads, governance constraints, and target outcomes. Shape the solution with subject matter experts across the business. Make designs scalable, supportable, cost-effective, and aligned with our standards. Own the technical content of RFP and RFI responses, proposals, architecture diagrams, and Statements of Work. Own the technical view on scope, effort, and delivery risk for opportunities. Run technical pitches and demos. Handle deep technical and business-value questions. Work with Databricks field teams on joint pursuits and co-selling.
- Client & Stakeholder Engagement: Build strong relationships with clients and become a trusted technical advisor. Take complex technical concepts and translate them into plain language and clear business outcomes for senior business leaders, technology leads, and internal sales teams. Hand each won opportunity to delivery with a clear, complete design. Walk the Solution Architect through scope, assumptions, risks, and estimates.
Skills / Approaches:
- Technical: Proven experience in technical pre-sales, designing cloud data architectures, with hands-on consulting on Azure and Databricks. Working knowledge of data engineering, ML/AI engineering, data governance, and platform design. Experience designing and presenting scalable, secure, and cost-effective solutions using established patterns and standards.
- Pre-sales & Commercial: Track record running discovery, demos, POCs, and RFP responses for complex data and AI deals. Comfortable working in ambiguous environments and helping clients shape problems as well as solutions. Strong commercial awareness, comfortable shaping Statements of Work, T-shirt-size estimates, and linking technical choices to business value, total cost of ownership, and time to value.
- Commercial & Stakeholder: Strong communication and presentation skills with technical and non-technical people at all levels, up to C-level. Confident running demos, technical pitches, client workshops, and negotiations. Able to influence technical and business stakeholders without relying solely on formal authority. Previous consulting experience is required, you understand the difference between working for one business and working across many.
Certifications: Databricks Professional certification is required, or able to demonstrate equivalent knowledge through real project experience. Azure certifications (such as Azure Data Engineer Associate or Azure Solutions Architect Expert) are a strong plus.
What will it be like to work for Advancing Analytics?
As a consultancy with strong partnerships across Microsoft, Databricks, AWS, Sigma, Tabular Editor and dbt Labs, you’ll get hands-on access to some of the most exciting technology and learning opportunities in the industry. We know this market moves quickly, so we invest in our people for the long term, giving you the space to build real expertise, keep developing, and stay ahead of what’s next. We’re also genuinely active in the wider data and AI community. That means speaking at events, sponsoring major industry moments like Big Data London, and showing up at some of the biggest stages in the space, including Databricks Data+AI Summit, Data+AI World Tour, and the Global AI AgentCon London. We encourage our team to get involved in the community, whether that’s in the form of a personal blog or an initiative you are passionate about advocating, we will support you!
Aside from offering a competitive salary, we have a great set of benefits and perks including, but not limited to:
- Industry matching Maternity & Paternity policy
- Private Medical & Dental Care plus Eye care scheme
- Health & Well-being fund
- 25 Days Annual Leave, Birthday Leave & Charity Leave
- Away days with the team
- Flexible Working Hours
- Electric Car Scheme
- Databricks Champion Status Bonus!
Our company values define us:
- Advancing: Being part of a team that drives innovation and pushing boundaries of what’s possible. Our work redefines industry standards and challenges the status quo in the data world every day.
- Come as you are: we are an inclusive company. When you work with us, rest assured you're working in a safe environment.
- Zero burnout: We have seen it happen, and we never want to be a company that pushes our staff to breaking point.
- We all level up together: we have each seen the benefit that being part of a community can have, it is transformational.
- Transparency: We are big believers that there are no secrets in Advancing Analytics, and we try to live this day to day.
Equal opportunities for everyone:
At Advancing Analytics both diversity and inclusion are a priority. We are all committed to creating an inclusive environment where everyone feels valued, respected and empowered to be their authentic selves. We are proud to be an equal opportunity employer; all applicants will be considered without regard to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, veteran status, neurodiversity or disability status.
This role profile is intended to provide an overview of the responsibilities and qualifications required for the Pre-Sales Solution Architect role. It is not an exhaustive list and may be subject to change to meet the needs of the organisation.
Solution Architect employer: Advancing Analytics
Advancing Analytics is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to thrive in their roles as technical generalists. With a strong focus on professional development, team members are encouraged to enhance their skills across low-code platforms and Python scripting, while enjoying the benefits of a supportive environment that values creativity and problem-solving. Located in a vibrant area, the company offers unique opportunities for growth and engagement, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Solution Architect
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Advancing Analytics or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Advancing Analytics.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Advancing Analytics.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Advancing Analytics that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Solution Architect
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Advancing Analytics.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Advancing Analytics and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Advancing Analytics
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Advancing Analytics uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.