Pre‑sales Senior Technical Solutions Engineer (Data and AI) x2
London, United Kingdom
Req ID: FEQ227R148 (2 new roles)
Location: London
Recruiter: Dina Hussain
About the Role
At Databricks, our core values of proactiveness and a customer‑centric mindset guide us as we build a unified platform that makes data science and analytics accessible to everyone. As a key part of this mission, you will 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 customers achieve their goals and guide their businesses forward.
You will report to the Manager, Field Engineering.
Impact
- Build successful relationships with clients across your assigned territory to provide technical and business value alongside an Account Executive and a Senior Solutions Architect.
- Generate excitement for Databricks among clients through hands‑on evaluation, Spark programming, and integration with the wider cloud ecosystem and third‑party applications.
- Contribute to the Databricks technical community through workshops, seminars, and meet‑ups.
- Serve as a Big Data Analytics advisor on architecture and design.
- Support customers by authoring reference architectures, how‑tos, and demo applications.
- Develop both technically and pre‑sales skills with the goal of becoming an independently operating Solutions Architect.
Qualifications
- Experience in technical customer‑facing roles with a background in Data Science, Generative AI, Machine Learning, Data Warehousing, or Data Engineering.
- Industry experience in at least one of the following sectors: Real‑money Gaming, Sports, Entertainment, Media, Telco, Hospitality, Manufacturing, Energy & Industrials, Travel, Transport & Logistics, Financial Services & Insurance, Public Sector, Consumer Package Goods (CPG)/Retail.
- Pre‑sales or post‑sales experience working with external clients.
- Strong ability to engage clients, create a narrative, answer questions, align agendas with key interests, and deliver tangible outcomes.
- Ability to independently deliver a technical proposition, identify pain points, and explain business value to build a trusted advisor relationship.
- Proficiency in a core programming language such as Python, Java, or Scala.
- Knowledge of Big Data Analytics fundamentals, with exposure to advanced proofs‑of‑concept and a major public cloud platform (AWS, GCP, or Azure).
- Experience in deep solution architecture and design.
- The role requires travel to customer sites in the UK, approximately 20‑30% of the time.
- Nice to have: Databricks Certification.
Benefits
We strive to provide comprehensive benefits and perks that meet the needs of all employees. For specific details on the benefits offered in your region, please visit the Databricks benefits portal.
About Databricks
Databricks is the data and AI company. Over 10,000 organizations worldwide—including Comcast, Condé Nast, Grammarly, and more than 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 worldwide, and was founded by the creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.
Compliance
If access to export‑controlled technology or source code is required for performance of job duties, it is within the Employer’s discretion whether to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.
Equal Employment Opportunity
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.
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