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, professional development, and a dynamic work environment.
- Other info: Be part of a collaborative team with excellent growth opportunities in the fast-paced data industry.
- Why this job: Make a real impact by shaping strategic data solutions for clients worldwide.
- Qualifications: Experience in data architecture and strong stakeholder engagement skills required.
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 should 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 ecosystem 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.
Data Architect/Data Solutions Architect employer: Avanade
Avanade is an exceptional employer for Data Architects, offering a dynamic work culture that fosters innovation and collaboration within a globally recognised Data AI team. Employees benefit from extensive professional growth opportunities, mentorship from industry experts, and the chance to work on transformative projects that leverage cutting-edge AI and data technologies. With a strong commitment to client success and a unique 'GLOCAL' approach, Avanade empowers its team members to make significant impacts both locally and globally.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect/Data Solutions Architect
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. Building relationships can open doors that a CV just can’t.
✨Tip Number 2
Show off your skills! Create a portfolio or a personal project that highlights your expertise in data architecture and AI solutions. This not only demonstrates your capabilities but also gives you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for those tricky interview questions! Research common questions for Data Architects and practice your responses. Think about how you can relate your past experiences to the challenges mentioned in the job description.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who want to make a difference. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data Architect/Data Solutions Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of Data Architect. Highlight your experience with data platforms, AI technologies, and any relevant projects that showcase your ability to deliver high-value business outcomes.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about transforming businesses with data. Share specific examples of how you've tackled challenges in previous roles and how you can bring that expertise to our team.
Showcase Your Technical Skills:Don’t shy away from listing your technical skills! We want to see your familiarity with modern Data AI capabilities, including structured and unstructured data analysis, streaming data, and any experience with Databricks or Microsoft ecosystems.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets into the right hands quickly!
How to prepare for a job interview at Avanade
✨Know Your Data AI Stuff
Make sure you brush up on the latest trends in data AI, especially around structured and unstructured data analysis, streaming data, and IoT. Being able to discuss these topics confidently will show that you're not just familiar with the basics but are genuinely passionate about the field.
✨Client-Centric Mindset
Since this role is all about understanding client challenges, think of examples where you've successfully engaged with clients in the past. Prepare to share how you’ve built strong relationships and acted as a trusted advisor, as this will resonate well with the interviewers.
✨Showcase Your Technical Leadership
Be ready to talk about your experience in leading architectural decisions and creating delivery roadmaps. Highlight specific projects where you provided technical leadership and how you mentored junior colleagues, as this aligns perfectly with what they’re looking for.
✨Communicate Complex Ideas Simply
Practice explaining complex technical concepts in layman's terms. You might be asked to present a solution or idea during the interview, so being able to articulate your thoughts clearly and effectively to non-technical stakeholders will set you apart.
