Engage with some of Databricks's largest and most complex customers across the UK & Ireland, defining technical strategies and supporting them in adopting Databricks to achieve their business objectives. Collaborate with Databricks leadership, account teams and field engineers to design and execute customer engagement strategies.
Responsibilities
- Serve as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
- Influence stakeholders at all organisational levels through complex engagements, ensuring excitement for the Databricks vision and solution strategy.
- Coach junior Solutions Architects on use‑case prioritisation and building technical champions.
- Develop customer‑facing collateral and lead workshops, seminars, and meet‑ups to promote the platform.
- Contribute to technical community engagement across the broader cloud ecosystem and third‑party applications.
- Design and deliver complex proofs‑of‑concept (PoCs) and proof‑of‑value demonstrations.
- Drive the full pre‑sales lifecycle: use‑case discovery, solution scoping, and architecture design for diverse audiences.
Qualifications
- Hands‑on experience in technical pre‑sales or consultancy, with a strong background in Data Science, Machine Learning, Deep Learning, Artificial Intelligence or Generative AI.
- Demonstrated ability to architect end‑to‑end Data & AI solutions, with expertise in modern Generative AI concepts such as fine‑tuning, RAG, and MLOps for LLMs.
- Strong proficiency in a core programming language (e.g., Python, SQL) and willingness to learn Spark.
- Experience with big data analytics technologies and public cloud platforms (AWS, Azure, or GCP).
- Excellent communication skills and a customer‑centric mindset, capable of guiding discussions to clear outcomes and articulating both technical and business value propositions.
- Experience coaching and mentoring junior team members.
Experience
- Prior hands‑on experience building with AI‑based development tooling such as Genie Code, Claude Code, Cursor, etc.
- Familiarity with ISV tools such as Dataiku, Domino, DataRobot, and others.
- Good understanding of cloud data platforms and data lakehouse concepts.
- Senior level exposure to complex, enterprise‑grade data analytics projects.
Travel & Logistics
- Ability to commute to the London office regularly.
- Willingness and ability to travel approximately 20‑30% of the time across the UK & Ireland and EMEA for customer visits.
Nice to Have
- Databricks or other relevant Cloud/Data certifications.
At Databricks, our culture is built on proactiveness, customer‑centricity, and a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that move their businesses forward and foster a culture of creativity, experimentation, and continuous improvement. You will play a vital part in this mission, leveraging technical expertise to demonstrate how the Lakehouse Platform can help customers address their complex data challenges and guide their businesses forward.
