About the job
REQ ID: FEQ127R254
Location: Hybrid – London
Join our dynamic Professional Services team at Databricks, where we are actively seeking talented individuals for various roles, including Senior Solutions Consultant, Resident Solutions Architect, or Senior Resident Solutions Architect. This position is ideal for those with a strong background in big data solutions, analytics architecture, or technical consulting.
As a Big Data Solutions Architect (Internally known as Resident Solutions Architect), you will collaborate with clients to address their big data challenges using the Databricks platform. This role involves overseeing data engineering, data science, and cloud technology projects, ensuring seamless integration with client systems, delivering training, and executing technical tasks that maximize the value derived from their data. Our RSAs are billable professionals who excel in project execution while providing exceptional customer service. You will report directly to the regional Manager/Lead.
Your Impact:
- Lead impactful technical projects, including the design and construction of reference architectures, and the productionalization of customer use cases.
- Collaborate with engagement managers to define the scope of diverse professional services based on client input.
- Guide strategic clients through the implementation of transformative big data projects, including third-party migrations, from initial design to deployment of leading big data and AI applications.
- Consult on architectural design and assist in bootstrapping or implementing customer projects, fostering a solid understanding and adoption of Databricks solutions.
- Provide elevated support for customer operational challenges.
- Work closely with the Databricks technical team, Project Manager, Architect, and client teams to ensure all technical components meet customer requirements.
- Engage with Engineering and Databricks Customer Support to offer product feedback and facilitate rapid resolution of engagement-specific issues.
What We Seek:
- Extensive experience in data engineering, data platforms, and analytics.
- Proficient in coding with Python or Scala.
- Familiarity with at least two major cloud ecosystems (AWS, Azure, GCP) with deep expertise in one.
- Strong communication skills and a passion for customer success.

