At a Glance
- Tasks: Lead innovative data platform projects and deliver transformative solutions for clients.
- Company: Join a globally recognised tech leader with a focus on Data & AI.
- Benefits: Competitive salary, professional development, and opportunities to work with cutting-edge technologies.
- Other info: Dynamic team environment with mentorship opportunities and career growth.
- Why this job: Make a real impact by helping clients leverage AI and data technologies.
- Qualifications: Experience in data architecture and strong communication skills.
The predicted salary is between 58349 - 71315 £ per year.
Our talented Data & AI team is made up of globally recognized experts. If you're passionate about helping clients transform their business with the latest AI and data technologies, let's talk. Take your skills to a new level and launch a career where you can truly do what matters.
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.
Avanade is the 7 times Databricks global partner of the year, we deliver over 4000 Microsoft data platform projects annually and deliver more Azure Databricks than any other Databricks partner.
Key Responsibilities:
- 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.
- Play a key role in Avanade's sales process by creating solutions that innovate, inspire and win new business.
- You’ll have responsibility for shaping the high-level design, estimates, and contractual details for client proposals in collaboration with other subject matter experts in the business.
- 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.
- 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.
- Prepare and represent the solution in Deal Reviews and play an active role in client presentations, and negotiations with key client buyers.
- 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.
Databricks Data Platform Solution Architect in Whitehall employer: Avanade
Avanade is an exceptional employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of the UK and Sweden. With a strong focus on employee growth, Avanade provides ample opportunities for professional development and engagement with industry leaders like Accenture and Microsoft, ensuring that every team member can contribute to meaningful projects that drive transformation. The company's commitment to a supportive environment and clear career pathways makes it an attractive place for those looking to make a significant impact in the AI workforce space.
StudySmarter Expert Advice🤫
We think this is how you could land Databricks Data Platform Solution Architect in Whitehall
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Avanade!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Databricks Data Platform Solution Architect at Avanade.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Avanade.
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When you find a suitable opening like Databricks Data Platform Solution Architect at Avanade, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Databricks Data Platform Solution Architect in Whitehall
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Avanade, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Avanade. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Avanade
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Avanade!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
