Pre-sales Senior Technical Solutions Engineer; Data and AI

Job : FEQ
327R439

Recruiter: Dina Hussain

Location: London (or surrounding areas)

At Databricks, our core values guide us to create a unified platform that makes data science and analytics accessible to everyone. You will be an essential part of this mission, using technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve complex data challenges. You'll work with a collaborative, customer‑focused team that values innovation and creativity, using your skills to create customised solutions that help our customers achieve their goals and guide their businesses forward.

You will be reporting to the Manager, Field Engineering.

• Build successful relationships with clients throughout assigned territory to provide technical and business value in collaboration with account executive and senior solutions architect.
• Generate excitement from clients through hands‑on evaluation and Spark programming, integrating with cloud ecosystem and third‑party applications.
• Contribute to building Databricks technical community through workshops, seminars, and meet‑ups.
• Become a big data analytics advisor on architecture and design aspects.
• Support customers by authoring reference architectures, how‑to guides, and demo applications.
• Develop technically and pre‑sales skills with goal of becoming independently operating solutions architect.

• Experience in technical customer‑facing roles with background in data science, generative AI, machine learning, data warehousing or data engineering.
• Background in one or more vertical sectors: entertainment, media, telco, hospitality, financial services & insurance, retail/CPG.
• Pre‑sales or post‑sales experience working with external clients.
• Familiarity with creating client narratives, answering questions, aligning agenda with interests, achieving tangible outcomes.
• Ability to independently deliver technical propositions, identify pain points, and explain business value to build trusted advisor skillset.
• Proficient in a core programming language such as Python, Java, or Scala.
• Knowledgeable in core big data analytics domain with exposure to advanced proofs‑of‑concept and major public cloud platform (AWS, GCP, Azure).
• Experience diving deeper into solution architecture and design.

• Travel to customer sites in the UK approximately 20–30% of the time.

• Databricks certification.

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.

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.