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For Companies At a Glance
- Tasks: Design and deliver transformational data solutions for enterprise clients using Databricks.
- Company: Globally recognised technology consulting organisation with a high-performance culture.
- Benefits: Salary up to £120,000, career progression, training support, and a collaborative environment.
- Why this job: Join the forefront of AI and analytics, making a real impact on large-scale projects.
- Qualifications: Experience as a Solution Architect with strong Databricks and data platform knowledge.
- Other info: Opportunities in Bristol, Birmingham, and Manchester; ideal for passionate tech enthusiasts.
The predicted salary is between 72000 - 84000 £ per year.
A globally recognised technology consulting organisation is expanding its high-performing Data & AI practice and is seeking an experienced Databricks Data Platform Solution Architect. This is an opportunity to work at the forefront of modern data platforms, AI and analytics, helping enterprise clients design and deliver transformational solutions across complex environments.
What's on Offer
- Salary up to £120,000 (dependent on experience)
- Benefits pack
- Permanent role within a market-leading Data & AI practice
- Exposure to large, strategic enterprise programs
- Career progression, training and certification support
- Collaborative, high-performance culture
What You'll Need
- Proven experience as a Solution Architect or Senior Data Architect on large-scale data platform or analytics programs
- Strong Databricks and modern lakehouse architecture experience (Azure preferred)
- Solid understanding of modern Data & AI concepts including GenAI, AI engineering, streaming, IoT, structured and unstructured data
- Experience creating high-level architectures, technical visions and delivery roadmaps
- Ability to produce and present design artifacts to technical and executive stakeholders
- Experience supporting pre-sales, solution design, estimates and proposal development
- Strong communication skills with the ability to translate complex technical concepts into business value
- Databricks certifications highly desirable (or equivalent practical experience)
- Will also consider candidates in Bristol, Birmingham and Manchester
If you're passionate about shaping intelligent data platforms and delivering high-impact solutions, apply today or get in touch for a confidential discussion.
Solutions Architect - Databricks in London employer: Anson McCade
Contact Detail:
Anson McCade Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Solutions Architect - Databricks in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work with Databricks or in data architecture. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects and solutions you've architected. This is your chance to demonstrate your expertise in modern data platforms and AI concepts, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms, as you'll need to convey your ideas to both technical and non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to submit your application and get noticed. Plus, it shows you're serious about joining our collaborative, high-performance culture.
We think you need these skills to ace Solutions Architect - Databricks in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Solutions Architect role. Highlight your Databricks experience and any relevant projects you've worked on, as this will show us you're a great fit for the position.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data platforms and how your background aligns with our needs. Don't forget to mention any specific achievements that demonstrate your expertise in modern Data & AI concepts.
Showcase Your Communication Skills: Since strong communication is key for this role, make sure your application materials are clear and concise. We want to see how you can translate complex technical concepts into business value, so use straightforward language and examples.
Apply Through Our Website: We encourage you to apply directly through our website. This way, your application will be processed more efficiently, and you'll have access to all the latest updates about the role and our company culture!
How to prepare for a job interview at Anson McCade
✨Know Your Databricks Inside Out
Make sure you brush up on your Databricks knowledge before the interview. Familiarise yourself with the latest features and best practices, especially around lakehouse architecture. Being able to discuss specific use cases or projects where you've successfully implemented Databricks will really impress the interviewers.
✨Showcase Your Architectural Skills
Prepare to talk about your experience in creating high-level architectures and delivery roadmaps. Bring examples of design artifacts you've produced and be ready to explain how they added value to previous projects. This will demonstrate your ability to translate complex technical concepts into actionable plans.
✨Communicate Like a Pro
Strong communication skills are key for this role. Practice explaining technical concepts in simple terms, as you'll need to present ideas to both technical and executive stakeholders. Consider doing mock interviews with friends or colleagues to refine your pitch and ensure clarity.
✨Be Ready for Scenario Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about challenges you've faced in past projects and how you overcame them. Prepare to discuss how you would approach hypothetical situations related to data platforms and AI solutions, showcasing your strategic thinking.
