CSQ327R39 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 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: 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