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- Tasks: Tackle big data challenges and deliver impactful solutions for clients using Databricks.
- Company: Join Databricks, a leading data and AI company with a global presence.
- Benefits: Enjoy competitive perks, including comprehensive benefits and opportunities for professional growth.
- Why this job: Make a real difference by guiding clients through transformative big data projects.
- Qualifications: 4+ years in data engineering; coding skills in Python or Scala required.
- Other info: Collaborative environment with a commitment to diversity and inclusion.
The predicted salary is between 36000 - 60000 £ per year.
Join to apply for the Solutions Architect (Professional Services) Spark Expert role at Databricks.
Location: London
Role Overview:
In our Professional Services team you will work with clients on short to medium-term engagements to address their big-data challenges using the Databricks platform. You will provide data engineering, data science, and cloud-technology projects that require integration with client systems, training, and other technical tasks to help customers extract maximum value from their data. RSAs are billable and must complete projects according to specifications while maintaining excellent customer service. You will report to the regional Manager/Lead.
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 guides, and productionalizing customer use cases.
- Work with engagement managers to scope professional-services work with input from the customer.
- Guide strategic customers as they implement transformational big-data projects, third-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 that lead to successful understanding, evaluation, and adoption of Databricks.
- Provide an escalated level of support for customer operational issues.
- Collaborate with the Databricks technical team, Project Manager, Architect, and Customer team to ensure technical components of each engagement are delivered to meet customer needs.
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution of engagement-specific product and support issues.
What We Look For:
- 4+ years experience in data engineering, data platforms & analytics; 6+ or 9+ years for senior or expert roles.
- 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.
- Skills in deploying and integrating Databricks-based solutions to complete customer projects.
- Travel to customers 30% of the time.
- Databricks Certification.
Benefits:
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit mybenefitsnow.com/databricks.
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.
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. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical or mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Big Data Solutions Architect (Professional Services) in City of London employer: Databricks
Contact Detail:
Databricks Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Solutions Architect (Professional Services) in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with professionals 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! Create a portfolio showcasing your projects, especially those involving big data and Spark. This will give potential employers a tangible sense of what you can do and how you can add value to their team.
✨Tip Number 3
Prepare for interviews by practising common technical questions related to data engineering and cloud technologies. Mock interviews with friends or mentors can help you feel more confident and articulate your expertise effectively.
✨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 awesome team at Databricks.
We think you need these skills to ace Big Data Solutions Architect (Professional Services) in City of London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Solutions Architect role. Highlight your experience with big data, Apache Spark, and cloud ecosystems like AWS or Azure. We want to see how your skills align with what we’re looking for!
Showcase Your Projects: Include specific examples of past projects where you’ve tackled big data challenges. Whether it’s designing architectures or implementing solutions, we love to see how you’ve made an impact in previous roles.
Be Clear and Concise: When writing your application, keep it straightforward. Use clear language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website: Don’t forget to submit your application through our official website! It’s the best way to ensure your application gets seen by the right people. We can’t wait to hear from you!
How to prepare for a job interview at Databricks
✨Know Your Spark Inside Out
As a Solutions Architect, you'll need to demonstrate your expertise in Apache Spark. Brush up on its runtime internals and be ready to discuss how you've used Spark in past projects. Prepare examples that showcase your problem-solving skills with big data challenges.
✨Showcase Your Cloud Knowledge
Familiarity with cloud ecosystems is crucial for this role. Make sure you can talk about your experience with AWS, Azure, or GCP. Be prepared to explain how you've integrated these platforms into your data solutions and any CI/CD practices you've implemented.
✨Client Engagement is Key
Since you'll be working closely with clients, highlight your experience in managing client relationships and resolving conflicts. Share specific instances where you've successfully guided clients through technical projects, ensuring they understood the process and outcomes.
✨Prepare for Technical Scenarios
Expect technical questions or scenarios during the interview. Practice explaining your approach to designing end-to-end data architectures and how you would handle operational issues. Being able to whiteboard your thought process can really set you apart!
