Responsibilities
- 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.
Requirements
- 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).
- 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.
- Demonstrated experience in coaching and mentoring junior team members to help them develop their technical and customer-facing skills.
- 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.
Nice to Have
- Databricks or other relevant Cloud/Data certifications.
- Experience working within the Manufacturing, Defence or Automotive sectors.
Work Arrangement
Hybrid — London, UK&I region, EMEA
Additional Information
- Regular collaboration across the UK&I region.
- Close alignment with London-based team.
- Travel requirement: 20-30% across UK&I and EMEA.
