Pre-sales Senior Solutions Engineer (Data and AI)

Databricks, Inc.; Camden Town; Hybrid; GBP 65,000 - 85,000; Full time

Job summary

A leading data analytics company in Camden Town seeks a Solutions Architect to build relationships with clients, provide technical solutions, and support customers with Big Data challenges. The ideal candidate will have experience in programming, client management, and a background in data science. The role involves travel within the UK, approximately 20-30% of the time and offers a collaborative environment focused on innovation.

Qualifications

• Experience working with external clients.
• Ability to independently deliver a technical proposition.
• Knowledgeable in a core Big Data Analytics domain.

Responsibilities

• Build relationships with clients to provide technical value.
• Engage clients through hands-on evaluation and programming.
• Support customers with reference architectures and demos.

Skills

Client relationship management

Hands-on evaluation and Spark programming

Building technical community

Big Data Analytics advisory

Pre-sales experience

Programming (Python/Java/Scala)

Solution architecture

Public cloud platforms (AWS/GCP/Azure)

Tools

Databricks Certification

Job description

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.

• 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.
• 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.
• 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)