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- Tasks: Design and implement data solutions using cutting-edge AI technologies for diverse clients.
- Company: Join Databricks, a leader in data and AI innovation.
- Benefits: Enjoy competitive perks, hybrid work, and a focus on diversity and inclusion.
- Why this job: Make a real impact by solving big data challenges with top-tier technology.
- Qualifications: Experience in data engineering, coding in Python or Scala, and cloud ecosystems.
- Other info: Dynamic role with opportunities for travel and professional growth.
The predicted salary is between 48000 - 84000 £ per year.
Location: Hybrid – London
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.
As a Data & AI 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.
Impact and ResponsibilitiesThe impact you will have:
- 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.
- 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.
- 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 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 10% of the time.
- [Preferred] Databricks Certification but not essential.
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 SparkTM, Delta Lake and MLflow.
BenefitsAt 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.
Our Commitment to Diversity and InclusionAt Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards.
Data & AI Solutions Architect (Professional Services) in London employer: Databricks, Inc.
Contact Detail:
Databricks, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Solutions Architect (Professional Services) 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 you might not find on job boards.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data engineering and AI. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data architecture and cloud technologies. We recommend doing mock interviews with friends or using online platforms.
✨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 & AI Solutions Architect (Professional Services) in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Data & AI 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 do!
Show Off Your Technical Skills: Don’t hold back on showcasing your coding abilities in Python or Scala. If you’ve got experience with Apache SparkTM or CI/CD processes, make sure to mention it! We love seeing candidates who can demonstrate their technical depth.
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. 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 for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
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 role requires a solid understanding of technical concepts, so be prepared to dive deep!
✨Showcase Your Problem-Solving Skills
During the interview, highlight specific examples where you've tackled big data challenges or implemented successful data architectures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your impact on previous projects.
✨Engage with the Interviewers
Don’t just answer questions; engage in a conversation! Ask insightful questions about their current projects or challenges they face. This shows your genuine interest in the role and helps you understand how you can contribute to their success.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your ability to handle real-world situations. Think about how you would approach a project from start to finish, including design, implementation, and customer interaction. Practising these scenarios will help you articulate your thought process clearly.
