Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement data solutions using cutting-edge technology for diverse clients.
- Company: Join Databricks, a leader in big data and AI solutions.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact by transforming how businesses leverage their data.
- Qualifications: Experience in data engineering, coding in Python or Scala, and cloud ecosystems.
- Other info: Collaborative environment with a focus on innovation and customer success.
The predicted salary is between 48000 - 84000 £ per year.
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as a Senior Solutions Consultant or a Resident Solutions Architect. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.
As a Data Platform Solutions Architect (Internal Title - Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, you will work with clients on short to medium-term customer engagements on their big data challenges using the Databricks platform. You will provide data engineering, data science, and cloud technology projects which require integrating with client systems, training, and other technical tasks to help customers to get most value out of their data. RSAs are billable and know how to complete projects according to specification with excellent customer service. You will report to the regional Manager/Lead.
The impact you will have:
- Drive high-impact customer projects: Design and build reference architectures, implement production use cases, and create “how-to” guides tailored to the unique needs of fast-moving Emerging Enterprise & Digital Native customers in EMEA.
- Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope, schedules, and deliverables for professional services engagements.
- Enable transformational initiatives: Guide strategic customers through their end-to-end big data journeys—migrating from legacy platforms and deploying industry-leading data and AI applications on the Databricks platform.
- Consult on architecture & design: Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt Databricks.
- Offer advanced support: Serve as an escalation point for operational issues, collaborating with Databricks Support and Engineering to resolve challenges quickly.
- Align technical delivery: Partner with cross-functional Databricks teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met.
- Amplify product feedback: Provide implementation insights to Databricks Product and Support teams, guiding rapid improvements in features and troubleshooting for customers.
What we look for:
- Extensive experience in data engineering, data platforms & analytics.
- Comfortable writing code in either Python or Scala.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark™ and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps.
- Design and deployment of performant end-to-end data architectures.
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects.
- Travel to customers 10% of the time [Preferred] Databricks Certification but not essential.
Data Platform Architect — Professional Services (EMEA) employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Architect — Professional Services (EMEA)
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Platform Architect role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data engineering and cloud technologies. We want to see how you’ve tackled big data challenges and made an impact.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss your experience with Apache Spark and cloud ecosystems. We’re looking for someone who can hit the ground running!
✨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, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Platform Architect — Professional Services (EMEA)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Data Platform Architect role. Highlight your experience in data engineering, cloud ecosystems, and any relevant projects you've worked on. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about big data and how your background makes you a great fit for this position. Be sure to mention specific experiences that relate to the job description.
Showcase Your Technical Skills: Since this role involves coding and technical project delivery, don’t shy away from showcasing your programming skills in Python or Scala. If you have experience with Apache Spark or CI/CD processes, make sure to include that too. We love seeing your technical prowess!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our awesome team at StudySmarter!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of data engineering, cloud ecosystems, and distributed computing. Be ready to discuss your experience with Apache Spark™ and how you've used it in past projects. This will show that you’re not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled big data challenges in previous roles. Think about times when you had to manage project scope or timelines and how you resolved conflicts with clients. This will demonstrate your ability to handle real-world scenarios.
✨Understand the Databricks Platform
Familiarise yourself with the Databricks platform and its features. If you can, try to get hands-on experience or at least read up on case studies. Being able to discuss how you would implement solutions using Databricks will set you apart from other candidates.
✨Practice Your Communication Skills
Since this role involves a lot of client interaction, practice explaining complex technical concepts in simple terms. You might be asked to whiteboard a solution during the interview, so being clear and concise is key. Good communication can make all the difference in customer-facing roles.