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- Tasks: Design and implement big data solutions using the Databricks platform for diverse clients.
- Company: Join Databricks, a leading data and AI company trusted by top global organisations.
- Benefits: Enjoy competitive perks, hybrid work options, and a commitment to diversity and inclusion.
- Why this job: Make a real impact by solving complex data challenges and transforming businesses.
- Qualifications: Experience in data engineering, coding in Python or Scala, and cloud ecosystems.
- Other info: Opportunity for travel and professional growth in a dynamic, supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
Location: Hybrid – London
We are 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 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 the 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 a 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 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.
- Databricks Certification but not essential.
About Databricks:
Databricks is the data and AI company. More than 10,000 organizations worldwide 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.
Our Commitment to Diversity and Inclusion:
At 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 Platform 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 Platform Solutions Architect (Professional Services) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills in real-time! Consider setting up a portfolio or GitHub repository showcasing your projects, especially those involving data engineering or big data solutions. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to data platforms and cloud ecosystems. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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, it shows you’re genuinely interested in joining our team at Databricks.
We think you need these skills to ace Data Platform 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 Platform 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 Spark 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 through your experience and skills. 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 – just follow the prompts and you’ll be all set!
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 Python or Scala, as well as your familiarity with Apache Spark. The more confident you are in these areas, the better you'll impress the interviewers.
✨Showcase Your Project Experience
Prepare to talk about specific projects you've worked on, especially those involving big data challenges. Highlight your role in designing and implementing data architectures, and be ready to explain how you managed scope and timelines. Real-world examples will help demonstrate your expertise.
✨Engage with the Interviewers
Don't just answer questions; engage in a conversation. Ask insightful questions about their current projects and challenges. This shows your interest in the role and helps you understand how you can contribute to their team effectively.
✨Demonstrate Problem-Solving Skills
Be prepared to tackle hypothetical scenarios or case studies during the interview. Think through your approach to solving customer issues or implementing solutions. This will showcase your analytical skills and ability to think on your feet, which is crucial for a Solutions Architect.
