At a Glance
- Tasks: Help clients tackle big data challenges using the Databricks platform and deliver impactful projects.
- Company: Join Databricks, a leading data and AI company trusted by top global organisations.
- Benefits: Enjoy competitive salary, comprehensive benefits, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a commitment to diversity and inclusion.
- Why this job: Make a real difference in transforming businesses with cutting-edge big data solutions.
- Qualifications: Experience in data engineering, coding in Python or Scala, and knowledge of cloud ecosystems.
The predicted salary is between 48000 - 72000 £ per year.
As a Big Data Solutions Architect (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 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 guide rapid resolution for engagement specific product and support issues.
What we look for:
- Proficient in data engineering, data platforms, and analytics with a strong track record of successful projects and in‐depth knowledge of industry best practices.
- 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 SparkTM 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 30% of the time.
- Databricks Certification.
Big Data Solutions Architect at Databricks – London, United Kingdom employer: Victrays
Databricks is an exceptional employer, offering a dynamic work environment in London where innovation meets collaboration. Employees benefit from comprehensive perks, a commitment to diversity and inclusion, and ample opportunities for professional growth through engaging projects that leverage cutting-edge big data technologies. Join us to make a meaningful impact while working alongside industry leaders in a culture that values creativity and excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Big Data Solutions Architect at Databricks – London, United Kingdom
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that Big Data Solutions 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 coding skills in Python or Scala. We recommend doing some mock interviews with friends or using online platforms to get comfortable with technical questions.
✨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 Big Data Solutions Architect at Databricks – London, United Kingdom
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Big Data Solutions Architect role. 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!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical skills! Mention your proficiency in Python or Scala, and any experience you have with Apache SparkTM. We love seeing candidates who can demonstrate their coding prowess and understanding of distributed computing.
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 you can help our clients succeed. We appreciate a personal touch, so let us know what excites you about working at Databricks.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your documents in one go. Plus, it helps us keep track of your application!
How to prepare for a job interview at Victrays
✨Know Your Tech Inside Out
Make sure you brush up on your data engineering and cloud technology skills. Be ready to discuss your experience with Python, Scala, and any cloud platforms you've worked with. The more specific examples you can provide about your past projects, the better!
✨Understand Databricks' Value
Familiarise yourself with the Databricks platform and its capabilities. Understand how it integrates with big data challenges and be prepared to discuss how you can help clients maximise their data value using this technology.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex technical issues in previous roles. Highlight your experience with distributed computing and MLOps, and be ready to explain your approach to project delivery and managing client expectations.
✨Practice Your Communication Skills
Since you'll be working closely with clients, it's crucial to demonstrate strong communication skills. Practice explaining technical concepts in simple terms and be ready to discuss how you've managed conflicts or difficult situations in the past.
