At a Glance
- Tasks: Transform businesses using cutting-edge AI and data technologies as a Solution Architect.
- Company: Join Avanade, a global leader in digital transformation and Microsoft ecosystem solutions.
- Benefits: Enjoy competitive salary, health benefits, and opportunities for professional growth.
- Other info: Collaborate with experts and mentor junior colleagues in a dynamic environment.
- Why this job: Make a real impact by shaping strategic data solutions for clients worldwide.
- Qualifications: Experience in data architecture and strong communication skills are essential.
The predicted salary is between 70000 - 90000 £ per year.
Our talented Data & AI team is made up of globally recognized experts - and there's room for more analytical and ambitious data professionals. If you're passionate about helping clients transform their business with the latest AI and data technologies, let's talk.
As a Solution Architect within our Data & AI Practice, you'll leverage a client-centric approach to understand our client’s challenges and opportunities to deliver solutions and services that make transformative change and deliver high value business outcomes. You'll engage in solutioning and support on the most strategic opportunities, intervene in high-risk complex deliveries, and contribute to shape the strategic direction using Agentic AI, automation, AI engineering, data platforms, reporting and self-serve analytics.
As an architect assigned to a client project, you will typically work closely with delivery teams and client stakeholders to provide technical leadership, shape deals and propositions, drive architectural decisions, create plans and roadmaps, and produce design artifacts. As a senior member of the Avanade technical community, you will provide coaching and mentoring to motivate and inspire more junior colleagues from within your team and across the organization.
You will have the ability to translate complex technical concepts and solutions and present them in easy to understand language and value based outcomes, to senior business stakeholders, technology leaders and internal sales teams. Engage in early conversations with clients and/or sales team and support origination and deal qualification, requirements capture and solutioning, recommending best practices and approaches to achieve optimal outcomes, building strong relationships with clients to become the trusted advisor.
Work collaboratively with the wider Data & AI leadership to shape our current and future offerings, accelerators, and background IP to support go to market activities. Lead the development of intelligent data platform projects, building strategic capabilities for our clients. Integrating data from many systems, transforming through lakehouse architectures and making available for reporting, AI and conversational analytics.
Awareness of channels to market and how to work in a Databricks and Microsoft eco-system to ensure Customer Success. High energy intent to help clients understand the fast moving data industry, product and service evolution. Experience working with stakeholders to create technical visions, high-level architectures, and delivery roadmaps for large programs of work that involve the latest data & AI concepts particularly focused on scaling data use across enterprises.
In-depth understanding of modern Data & AI capabilities such as structured and unstructured data analysis, streaming data, IoT, AI, GenAI and related topical analytics fields. Comfortable actively engaging and leading sales and business development opportunities with clients.
Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.
Solution Architect / Data Architect (m/w/d) employer: Avanade
Avanade is an exceptional employer for data professionals, offering a dynamic work culture that fosters innovation and collaboration within its globally recognised Data & AI team. Employees benefit from extensive growth opportunities, mentorship from industry experts, and the chance to work on transformative projects that leverage cutting-edge AI and data technologies, all while being part of a company that values local impact in a global context.
StudySmarter Expert Advice🤫
We think this is how you could land Solution Architect / Data Architect (m/w/d)
✨Tip Number 1
Network like a pro! Get out there and connect with people in the Data & AI field. Attend meetups, webinars, or even just grab a coffee with someone in the industry. Building relationships can open doors to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data architecture and AI solutions. This gives potential employers a tangible sense of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by understanding the company’s current projects and challenges. Tailor your responses to show how your experience aligns with their needs. We want to see that you’re not just a fit for the role, but also passionate about what we do!
✨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, it shows you’re genuinely interested in joining our team at Avanade and contributing to our innovative projects.
We think you need these skills to ace Solution Architect / Data Architect (m/w/d)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Solution Architect. Highlight your experience with data technologies and client engagement, showing how you've helped businesses transform through innovative solutions.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how your skills align with our mission at StudySmarter. Be genuine and let your personality come through.
Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of projects where you've used modern Data & AI capabilities. Don't just list skills; demonstrate how you've applied them to achieve high-value outcomes.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team!
How to prepare for a job interview at Avanade
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest Data & AI technologies, especially those mentioned in the job description. Brush up on your knowledge of structured and unstructured data analysis, streaming data, and AI concepts. Being able to discuss these topics confidently will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Client-Centric Mindset
Since the role involves a client-centric approach, prepare examples of how you've successfully engaged with clients in the past. Think about times when you identified their challenges and delivered tailored solutions. This will demonstrate your ability to build strong relationships and act as a trusted advisor.
✨Showcase Your Leadership Skills
As a senior member, you’ll be expected to mentor and inspire junior colleagues. Be ready to share experiences where you’ve led teams or projects, highlighting your coaching style and how you motivate others. This will illustrate your capability to contribute to the team’s growth and success.
✨Communicate Complex Ideas Simply
Practice explaining complex technical concepts in layman's terms. You might be asked to present ideas to non-technical stakeholders, so being able to translate jargon into understandable language is key. Use examples from your past work to showcase how you’ve done this effectively.
