Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
Задачи
Form successful relationships with clients throughout your assigned territory, providing technical and business value to Databricks customers in collaboration with Account Executives
Operate as an expert in big data analytics to excite customers about Databricks
You will develop into a ‘champion’ and trusted advisor on multiple issues of architecture, design, and implementation to lead to the successful adoption of the Databricks Data Intelligence Platform
Author reference architectures, how-tos, and demo applications to scale best practices in your field and support customers
Lead workshops, seminars, and meet-ups to help build the Databricks community in your region and scale best practices in your field
Grow your knowledge and expertise to the level of a technical and/or industry specialist
JOB ID: FEQ327R451
Recruiter: Dina Hussain
Industry: Manufacturing, Defence and Automotive
At Databricks, our core values are at the heart of everything we do
A culture of proactiveness and a customer-centric mindset guides us in creating 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 a vital part of this mission, utilising your technical expertise to demonstrate how our Lakehouse Platform can help customers address their complex data challenges
You'll work with a collaborative, customer-focused team who 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!
Reporting to the Manager, Field Engineering
Требования
We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Manufacturing, Defence and Automotive which focuses on supporting and growing customers in the UK&I
This role offers the opportunity to be based in the London Office, with regular collaboration across the UK&I region and close alignment with our London-based team
Core Technical
Hands-on experience in technical pre-sales or consultancy, with a strong background in Data Science - traditional Machine Learning, Deep Learning, Artificial Intelligence or Generative AI
Demonstrated ability to architect end-to-end Data & AI solutions, with specific expertise in modern Generative AI concepts (e.g., fine-tuning, RAG, MLOps for LLMs), using either open source and/or ISV tools such as Dataiku, Domino, DataRobot etc
Strong proficiency in a core programming language (e.g., Python, SQL) and a willingness to learn (or existing knowledge of) Spark
Proficiency with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP)
Hands-on expertise in designing and delivering complex proofs-of-concept (PoCs)
Pre-Sales & Customer-Facing Skills
Proven ability to engage with customers in a technical sales capacity: challenging assumptions, guiding discussions to clear outcomes, and communicating both technical and business value propositions
Experience in the full pre-sales lifecycle, including use case discovery, solution scoping, and delivering complex solution architecture designs to diverse audiences (from engineers to executives)
A customer-centric mindset with a passion for building client relationships and internal partnerships with account teams
Seniority & Leadership
Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills
Logistics
Ability to commute to the London office regularly
Willingness and ability to travel approximately 20-30% of the time across UK&I and EMEA for customer visits
Будет плюсом
Databricks or other relevant Cloud/Data certifications
Experience working within the Manufacturing, Defence or Automotive sectors
Условия
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees
Location: London, UK
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