Pre-sales Senior Solutions Engineer (Data and AI)

Databricks Inc.; City Of London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading data and AI company is seeking candidates for a technical customer-facing role in London. The ideal candidate will leverage their experience in Data Science, Machine Learning, and Big Data Analytics to support clients and provide innovative solutions. Travel around the UK is required approximately 20-30% of the time. The role involves creating relationships and building the technical community at Databricks.

Benefits

Comprehensive benefits

Diversity and inclusion commitment

Qualifications

• Experience in Data Science, Generative AI, Machine Learning, Data Engineering.
• Ability to independently deliver technical propositions.
• Familiarity with cloud platforms like AWS, GCP, or Azure.

Responsibilities

• Form successful relationships with clients.
• Contribute to building the Databricks technical community.
• Support customers by authoring reference architectures.

Skills

Technical customer-facing experience

Data Science / Generative AI / Machine Learning

Big Data Analytics

Python

Java

Scala

Job description

Overview

Req ID: FEQ127R43

Location: London (or surrounding areas)

At Databricks, our core values are at the heart of everything we do; creating a culture of proactiveness and a customer‑centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user‑friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Databricks Data Intelligence Platform can help customers solve their complex data challenges. You’ll work with a collaborative, customer‑focused team that values innovation and creativity, using your skills to create customised solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

You will be reporting to the Manager, Field Engineering.

Impact you will have

• Form successful relationships with clients throughout your assigned territory to provide technical and business value in collaboration with an Account Executive and a Senior Solutions Architect.
• Gain excitement from clients about Databricks through hands‑on evaluation and Spark programming, integrating with the wider cloud ecosystem and 3rd‑party applications.
• Contribute to building the Databricks technical community through engagement at workshops, seminars, and meet‑ups.
• Become a Big Data Analytics advisor on aspects of architecture and design.
• Support your customers by authoring reference architectures, how‑tos, and demo applications.
• Develop both technically and in the pre‑sales aspect with the goal of becoming an independently operating Solutions Architect.

What we look for

• Experience, technical customer‑facing and with a background in Data Science / Generative AI / Machine Learning / Data Warehousing or Data Engineering.
• You will be working in the following vertical sectors:
• Real‑money Gaming, Sports, Entertainment, Media, Telco and/or Hospitality.
• Manufacturing, Energy and Industrials.
• Travel, Transport and Logistics.
• Financial Services and Insurance (FSI).
• Public Sector.
• Retail / CPG (Consumer Package Goods).
• Any experience in Pre‑sales or post‑sales working with external clients.
• Familiarity with working with clients, creating a narrative, answering customer questions, aligning the agenda with important interests, and achieving tangible outcomes.
• Ability to independently deliver a technical proposition, identify customers’ pain points and explain important areas for business value to develop a trusted advisor skillset.
• Code in a core programming language such as Python, Java, or Scala.
• Knowledgeable in a core Big Data Analytics domain with some exposure to advanced proofs‑of‑concept and an understanding of a major public cloud platform (AWS, GCP, Azure).
• Experience diving deeper into solution architecture and design.

• The role requires travel to customer sites in the UK. Travelling approx. 20–30% of the time.

• Nice to have: Databricks Certification.

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 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 around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.

To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

Benefits

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit the Databricks Benefits Portal.

Our Commitment to Diversity and Inclusion

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.

Compliance

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.