At a Glance
- Tasks: Design and implement data solutions using cutting-edge technology for diverse clients.
- Company: Join Databricks, a leader in data and AI innovation.
- Benefits: Comprehensive benefits, remote work options, and a commitment to diversity.
- Other info: Collaborative environment with opportunities for professional growth and travel.
- Why this job: Make a real impact by solving big data challenges for top companies.
- Qualifications: Experience in data engineering, coding in Python or Scala, and cloud ecosystems.
The predicted salary is between 60000 - 80000 € per year.
We’re hiring for multiple roles within our Professional Services team. Depending on experience and scope, this position may be offered as a Senior Solutions Consultant or a 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 Data Platform Solutions Architect (Internal Title - Resident Solutions Architect) on our Professional Services team for the Emerging Enterprise & Digital Natives business in EMEA, 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 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 you will have
- Drive high-impact customer projects: Design and build reference architectures, implement production use cases, and create “how-to” guides tailored to the unique needs of fast-moving Emerging Enterprise & Digital Native customers in EMEA.
- Collaborate on project scoping: Work closely with Engagement Managers and customers to define project scope, schedules, and deliverables for professional services engagements.
- Enable transformational initiatives: Guide strategic customers through their end-to-end big data journeys—migrating from legacy platforms and deploying industry‑leading data and AI applications on the Databricks platform.
- Consult on architecture & design: Provide thought leadership on solution design and implementation strategies, ensuring customers can successfully evaluate and adopt Databricks.
- Offer advanced support: Serve as an escalation point for operational issues, collaborating with Databricks Support and Engineering to resolve challenges quickly.
- Align technical delivery: Partner with cross‑functional Databricks teams (Technical, PM, Architecture, and Customer Success) to align on milestones, ensuring customer needs and deadlines are met.
- Amplify product feedback: Provide implementation insights to Databricks Product and Support teams, guiding rapid improvements in features and troubleshooting for customers.
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 Spark™ 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.
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 click here.
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) - Emerging Enterprise & DNB employer: WinsAbove
At Databricks, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our commitment to employee growth is evident through comprehensive training opportunities and a focus on diversity and inclusion, ensuring that every team member can thrive in their career. Located in EMEA, our Professional Services team provides the unique advantage of working with cutting-edge technology on impactful projects, allowing you to make a meaningful difference for our clients while enjoying a supportive and engaging workplace.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB
✨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 or GitHub repository showcasing your projects, especially those involving data engineering and cloud tech. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data platforms and big data challenges. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
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) - Emerging Enterprise & DNB
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data engineering and cloud ecosystems. We want to see how your skills align with the role of a Data Platform Solutions Architect, so don’t hold back!
Showcase Your Technical Skills:Don’t forget to mention your coding experience in Python or Scala! We’re looking for someone who’s comfortable with distributed computing and can demonstrate their knowledge of Apache Spark™. Let us know what you’ve worked on!
Highlight Client Engagement Experience:Since this role involves working closely with clients, share examples of how you've managed client relationships and resolved conflicts. We love to see candidates who can communicate effectively and deliver excellent customer service.
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 right position. Plus, it’s super easy!
How to prepare for a job interview at WinsAbove
✨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 is all about technical depth, so showing off your skills will definitely impress.
✨Prepare for Real-World Scenarios
Think about specific projects you've worked on that relate to big data challenges. Be prepared to explain your approach to designing and implementing data architectures, and how you’ve collaborated with clients to meet their needs. Real examples will help you stand out!
✨Showcase Your Customer Service Skills
Since this role involves a lot of client interaction, be ready to talk about how you've managed client relationships in the past. Highlight any experiences where you resolved conflicts or provided exceptional support, as this will demonstrate your ability to drive high-impact customer projects.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s projects, culture, and future direction. This shows your genuine interest in the role and helps you assess if it's the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.
