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- Tasks: Design and implement data solutions for clients using the Databricks platform.
- Company: Join a leading data and AI company with a commitment to innovation.
- Benefits: Competitive salary, diverse culture, and opportunities for professional growth.
- Why this job: Make an impact by solving big data challenges for exciting clients.
- Qualifications: Experience in data engineering, coding in Python or Scala, and cloud ecosystems.
- Other info: Collaborative environment with travel opportunities and a focus on diversity.
The predicted salary is between 36000 - 60000 ÂŁ 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.
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.
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.
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.
Partner with cross-functional Databricks teams: (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met.
Provide implementation insights: to Databricks Product and Support teams, guiding rapid improvements in features and troubleshooting for customers.
Requirements:
- 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
- Familiarity with CI/CD for production deployments
- Design and deployment of performant end-to-end data architectures
- Experience with technical project delivery - managing scope and timelines
- 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
Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB (Hiring Immediately) in London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB (Hiring Immediately) in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Showcase your skills! Create a portfolio or GitHub repository with your projects. This gives potential employers a taste of what you can do, especially in data engineering and cloud tech.
✨Tip Number 3
Prepare for interviews by practising common questions related to data platforms and architecture. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, you’ll be one step closer to joining our awesome team!
We think you need these skills to ace Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB (Hiring Immediately) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data Platform Solutions Architect role. Highlight your experience with big data, cloud ecosystems, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Show Off Your Technical Skills: Don’t hold back on showcasing your technical expertise! Whether it's your coding skills in Python or Scala, or your knowledge of CI/CD processes, let us know how you’ve applied these in real-world scenarios. This is your chance to shine!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences. We appreciate a well-structured application that gets straight to the good stuff!
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 keen and ready to join our team at StudySmarter!
How to prepare for a job interview at Databricks
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Databricks platform and can discuss your experience with data engineering, data science, and cloud technologies. Brush up on Python or Scala coding skills, as you might be asked to demonstrate your technical prowess during the interview.
✨Understand the Customer's Journey
Familiarise yourself with the end-to-end big data journey that clients typically go through. Be prepared to discuss how you would guide a customer from legacy platforms to deploying data and AI applications, showcasing your ability to provide tailored solutions.
✨Project Management Skills are Key
Highlight your experience in managing project scopes, timelines, and deliverables. Be ready to share examples of how you've successfully completed technical projects while ensuring excellent customer service, as this is crucial for the role.
✨Collaborate and Communicate
Demonstrate your ability to work with cross-functional teams and engage with customers effectively. Prepare to discuss how you’ve collaborated with different stakeholders in past roles to meet project milestones and customer needs.