Pre-sales Senior Solutions Engineer (Data and AI)

Databricks Inc.; Greater London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading data platform company in London is seeking an experienced Solutions Architect to provide technical expertise and customer solutions. This role involves forming relationships with clients across various sectors, delivering business value, and contributing to the technical community. The ideal candidate has experience in Data Science, Machine Learning, and Big Data Analytics, along with strong coding skills in Python or Java. The position requires travel up to 30% in the UK and offers an exciting opportunity to impact clients' businesses.

Qualifications

• Experience in Data Science, Generative AI, or Machine Learning.
• Ability to independently deliver technical propositions to clients.
• Familiarity with creating narratives and aligning agendas with clients.

Responsibilities

• Form successful relationships with clients to provide business value.
• Contribute to building the Databricks technical community.
• Support customers by authoring reference architectures and demo applications.

Skills

Data Science

Machine Learning

Big Data Analytics

Python

Java

Scala

Customer Relationship Management

Tools

AWS

GCP

Azure

Databricks

Job description

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.

The 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 any of 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 experience 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