PreSales Collective
Pre-sales Senior Technical Solutions Engineer (Data and AI) x2
How your CV stacks up
Upload your CV to see how well it fits this job role
?%
Pre-sales Senior Technical Solutions Engineer (Data and AI) x2
Senior Field Engineer (x2)
Req ID - FEQ227R148
Location: London
Recruiter: Dina Hussain
About Databricks
At Databricks, our core values drive everything we do. Our culture is built on:
- Proactiveness and a customer-centric mindset
- A unified platform making data science and analytics accessible to everyone
We inspire our customers to make informed decisions that elevate their businesses. Our platform turns insights into action, fostering creativity, experimentation, and continuous improvement. You’ll play an essential role in this mission, applying your technical expertise to demonstrate how our Databricks Data Intelligence Platform can address complex data challenges.
You’ll collaborate in a customer-focused team that values innovation and creativity, designing tailored solutions that help our customers achieve their goals.
We’re revolutionising how people work with data to build a better world.
You’ll report to the Manager, Field Engineering.
The Impact You Will Have
- Build and fostering successful client relationships across assigned territories, delivering both technical and business value in partnership with an Account Executive and Senior Solutions Architect.
- Excite customers about Databricks through hands-on evaluations, including Spark programming, integration with the cloud ecosystem, and third-party applications.
- Contribute to building the Databricks technical community by engaging in workshops, seminars, and meet-ups.
- Act as a trusted advisor on big data analytics, covering architecture and design aspects.
- Author reference architectures, how-to guides, and demo applications to support customers.
- Grow both technically and in pre-sales, with the goal of becoming an independent Solutions Architect.
Reasons to use Rodeo
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
It searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Key Responsibilities
Requirements
-
Experience in technical customer-facing roles, preferably with a background in:
- Data Science
- Generative AI
- Machine Learning
- Data Warehousing
- Data Engineering
-
Industry experience in any 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:
- Create narratives and connect with clients.
- Align agendas and address customer interests.
- Achieve tangible outcomes.
-
Experience independently delivering technical propositions, identifying pain points, and demonstrating business value to become a trusted advisor.
-
Proficiency in coding a core programming language, such as:
- Python
- Java
- Scala
-
Broad knowledge of Big Data Analytics with exposure to:
- Advanced proofs-of-concept.
- Key public cloud platforms (AWS, GCP, Azure).
Get help with your application
Your very own career expert that helps elevate your application to the next level.
-
Experience diving into solution architecture and design.
-
Willingness to travel approximately 20–30% of the time to customer sites in the UK.
-
Nice-to-have: Databricks Certification
Life at Databricks
Databricks is the data and AI company. Over 10,000 organisations worldwide—including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500—rely on our Data Intelligence Platform to unify and democratize data, analytics, and AI.
Based in San Francisco, with global offices, Databricks was founded by the creators of Lakehouse, Apache Spark™, Delta Lake, and MLflow.
Benefits
We offer comprehensive benefits to cater to all employees. For region-specific details, visit [Databricks Benefits Page].
Diversity & Inclusion
At Databricks, we foster a culture where everyone thrives. Our approach to hiring:
- Promotes inclusion.
- Adheres to equal employment opportunity standards.
All job applicants are considered without regard to:
- Age, color, disability
- Ethnicity, family status
- Gender identity/expression, language, national origin
- Physical/mental ability, political affiliation
- Race, religion, sexual orientation, socio-economic status
- Veteran status
- Other protected characteristics
Compliance Notes
- If access to export-controlled technology or source code is needed, it's within the Employer’s discretion to:
- Request a U.S. government license.
- Decline to proceed with an applicant.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
Skills
Location