Senior Solutions Architect (DS/ML/GenAI/LLM)
Databricks · London, United Kingdom · Field Engineering - Other · listed January 6, 2026
The shape of it
Seniority
Principal
Where
Not stated
Requirements listed
8
Length
847 words
In the posting’s own words
What we look for: We are seeking a highly motivated and technically skilled individual to join our UK&I Enterprise Professional Business Team, 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.
What it asks for · 8
- 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.
Also a plus
- Databricks or other relevant Cloud/Data certifications.
What the job covers
- Develop customer engagement strategies in partnership with Account Executive(s) in your designated territory.
- Coach junior Solutions Architects and teams on use case prioritisation and building technical champions.
- You will influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and third-party applications, ensuring they are excited by the Databricks vision and solution strategy.
- Be a 'champion’ for both customers and colleagues, operating as an expert solution architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Lakehouse platform.
- Contribute to Databricks' technical community engagement by developing customer-facing collateral and leading workshops, seminars, and meet-ups.
- Opportunity to continue your development in one of four tracks - technical specialisation, industry vertical thought leadership, strategic customer vision, and people management.
Tools and skills named
Data
- Databricks4×
- Data warehouse
- Spark
Models & research
- Deep learning
- Fine-tuning
- LLM
- Machine learning
Cloud & infra
- AWS
- Azure
- GCP
Languages
- Python
- SQL
Ways of working
- Mentorship2×
Go to market
- Partnerships
Words the posting leans on
- technical8×
- solution6×
- customers5×
- data4×
- architect3×
- engagement3×
- experience3×
- pre-sales3×
- account2×
- architecture2×
- building2×
- business2×
- case2×
- champion2×
- cloud2×
- core2×
Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.
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