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- Tasks: Design and implement big data solutions using Databricks for diverse clients.
- Company: Join a leading tech firm focused on innovative data solutions.
- Benefits: Remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by solving complex data challenges for top-tier clients.
- Qualifications: Experience in data engineering, coding in Python or Scala, and cloud platforms.
- Other info: Dynamic role with travel opportunities and a chance to work with cutting-edge technology.
The predicted salary is between 36000 - 60000 £ per year.
Location: United Kingdom Remote with occasional travel to the London office and clients' sites.
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as Senior Solutions Consultant, Resident Solutions Architect, or Senior 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 Big Data Solutions Architect (Internal Title - Resident Solutions Architect) in our Professional Services team 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:
- You will work on a variety of impactful customer technical projects which may include designing and building reference architectures, creating how-to's and productionalizing customer use cases.
- Work with engagement managers to scope variety of professional services work with input from the customer.
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications.
- Consult on architecture and design; bootstrap or implement customer projects which leads to a customers' successful understanding, evaluation and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- You will work with the Databricks technical team, Project Manager, Architect and Customer team to ensure the technical components of the engagement are delivered to meet customer's needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement specific product and support issues.
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 Sparkâ„¢ 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 Solutions Architect (Professional Services) employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Solutions Architect (Professional Services)
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Prepare for those interviews by practising common questions and scenarios related to data engineering and big data solutions. We recommend doing mock interviews with friends or using online platforms to get comfortable with articulating your experience and skills.
✨Tip Number 3
Showcase your expertise! Create a portfolio of projects you've worked on, especially those involving Databricks or similar technologies. This will give potential employers a tangible sense of your capabilities and how you can add value to their team.
✨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 Solutions Architect (Professional Services)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Data Platform Solutions Architect. Highlight your experience with data engineering, cloud ecosystems, and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about big data and how your background makes you a great fit for our team. Don’t forget to mention any specific experiences that relate to the job description.
Showcase Your Technical Skills: Since this role involves a lot of technical work, make sure to showcase your coding skills in Python or Scala. If you've worked with Apache Spark or have experience in CI/CD, let us know! We love seeing practical examples of your expertise.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates. Plus, it’s super easy!
How to prepare for a job interview at Databricks
✨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 Python, Scala, and Apache Sparkâ„¢ in detail. The more you can demonstrate your technical depth, the better!
✨Showcase Your Project Experience
Prepare to talk about specific projects you've worked on, especially those involving big data and cloud technologies. Highlight your role in managing scope and timelines, and how you ensured successful delivery. Real-world examples will make you stand out.
✨Understand the Client's Perspective
Since this role involves working closely with clients, think about how you can demonstrate your customer service skills. Be ready to discuss how you've handled conflicts or challenges in past client engagements and how you ensured their needs were met.
✨Practice Your Documentation Skills
Documentation is key in this role, so be prepared to discuss how you approach creating technical documents and white-boarding solutions. You might even want to bring a sample of your work to showcase your skills in this area during the interview.
