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For Companies At a Glance
- 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, including hybrid work options and comprehensive benefits tailored to your needs.
- Why this job: Make a real impact by solving complex data challenges and transforming client projects.
- Qualifications: Experience in data engineering, coding in Python or Scala, and familiarity with cloud ecosystems.
- Other info: Work in a diverse, inclusive culture with opportunities for professional growth and development.
The predicted salary is between 36000 - 60000 £ 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. You may know this role as a Big Data Solutions Architect, Analytics Architect, Data Platform Architect, or Technical Consultant. The final title will align to your experience, technical depth, and customer-facing ownership.
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 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
- 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 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 10% of the time.
- Databricks Certification but not essential.
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.
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 and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export‑controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Data Platform Solutions Architect (Professional Services) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current Databricks employees on LinkedIn. 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 showcasing your projects, especially those involving data engineering and big data solutions. This will give potential employers a taste of what you can do and how you tackle real-world problems.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data platforms and be ready to discuss your past experiences in detail. Confidence is key!
✨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 the Databricks team.
We think you need these skills to ace Data Platform Solutions Architect (Professional Services)
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're looking for!
Showcase Your Technical Skills: Don’t hold back on showcasing your coding skills in Python or Scala! Mention any experience you have with Apache Spark™ and CI/CD processes. We love seeing candidates who can demonstrate their technical prowess and how it relates to our work at StudySmarter.
Highlight Customer Engagement Experience: Since this role involves working closely with clients, make sure to emphasise any past experiences where you've managed client relationships or resolved conflicts. We value strong communication skills and a customer-first mindset, so let us know how you've excelled in these areas!
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 gives you a chance to explore more about our culture and values at StudySmarter!
How to prepare for a job interview at Databricks Inc.
✨Know Your Tech Inside Out
Make sure you’re well-versed in data engineering, cloud ecosystems, and distributed computing. Brush up on your Python or Scala coding skills, as you'll likely be asked to demonstrate your technical knowledge during the interview.
✨Showcase Your Project Experience
Prepare to discuss specific projects where you've designed and implemented data architectures or worked with big data solutions. Highlight your role, the challenges faced, and how you delivered results, especially in customer-facing scenarios.
✨Understand the Databricks Platform
Familiarise yourself with the Databricks platform and its capabilities. Be ready to discuss how you would leverage it to solve client challenges and improve their data strategies. This shows your genuine interest and readiness to contribute.
✨Practice Problem-Solving Scenarios
Expect scenario-based questions that assess your problem-solving skills. Practice articulating your thought process when tackling technical issues or project management challenges, as this will demonstrate your analytical abilities and customer service mindset.
