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- Tasks: Help clients tackle big data challenges using the Databricks platform and provide expert guidance.
- Company: Join Databricks, a leading data and AI company trusted by top global organisations.
- Benefits: Enjoy competitive pay, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a real impact by transforming how businesses leverage their data with cutting-edge technology.
- Qualifications: Experience in data engineering, coding in Python or Scala, and knowledge of cloud ecosystems required.
- Other info: Dynamic role with travel opportunities and a chance to work on innovative projects.
The predicted salary is between 43200 - 72000 £ per year.
As a Big Data 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:
- 6+ years 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 30% of the time.
- Databricks Certification.
About Databricks: Databricks is the data and AI company. More than 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks.
Big Data Solutions Architect (Professional Services) employer: Databricks Inc.
Contact Detail:
Databricks Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Solutions Architect (Professional Services)
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the industry. Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio that highlights your best projects, especially those involving big data and Databricks. Share it on platforms like GitHub or your personal website. This way, potential employers can see your expertise in action.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering and cloud technologies. But don’t just stop there—be ready to discuss your past projects and how you tackled challenges. Real-life examples will make you stand out!
✨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 a team that’s all about transforming big data challenges into success stories.
We think you need these skills to ace Big Data Solutions Architect (Professional Services)
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!
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 perfect fit for our team. Don't forget to mention your experience with Databricks and Apache Sparkâ„¢!
Showcase Your Technical Skills: Since this role requires strong technical expertise, be sure to include specific examples of your coding skills in Python or Scala, as well as your experience with distributed computing. We love seeing real-world applications of your knowledge!
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 that you're serious about joining the StudySmarter family!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Apache Sparkâ„¢, Databricks, and the cloud ecosystems like AWS, Azure, or GCP. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled big data challenges in previous roles. Think about the end-to-end processes you've designed and implemented, and be ready to explain your thought process and the impact of your solutions on the client's business.
✨Engage with the Interviewers
Don’t just answer questions—ask insightful ones too! Show your interest in the company and the role by inquiring about their current projects, team dynamics, and how they measure success in customer engagements. This will demonstrate your enthusiasm and fit for the position.
✨Practice Your Communication Skills
Since this role involves client interaction, practice explaining complex technical concepts in simple terms. You might be asked to whiteboard a solution or walk through a design, so being clear and concise is key. Remember, it’s not just about what you know, but how you convey it!
